Jobs in Kfar Saba

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. Parallel Wireless is looking for an experienced AI Engineering Manager to lead our AI team within R&D and drive the development and integration of AI capabilities across our RAN product portfolio. The team works on production-focused AI solutions, including agentic AI for network operations, AI-driven optimization and automation, technical assistants, and automated root cause analysis. In this role, you will combine technical leadership, people management, and execution ownership to take AI initiatives from concept through productization and measurable impact. You will define the technical direction and roadmap, lead and grow a multidisciplinary team of AI/ML, software and domain engineers, and work closely with R&D, Product, Systems and global teams to bring scalable AI capabilities into our products. What you will do: Lead the AI team and own its technical direction, roadmap and execution. Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization. Define clear success metrics and ensure AI solutions deliver measurable product and business impact. Lead architecture and technical decision-making around AI models, platforms, tools and data. Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development. Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management. Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US. Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency. Support customer-facing discussions, trials and PoCs where relevant. What you should have: 3+ years of experience leading engineering teams, with responsibility for people management, hiring and delivery. 8+ years of experience in software, systems or AI/ML engineering, with a strong technical background. Proven experience delivering ML or LLM-based solutions into production, with measurable impact and ownership from development through deployment. Strong understanding of modern AI technologies and architectures, including LLMs, RAG, AI agents, tool calling, evaluation methodologies and MLOps/LLMOps. Hands-on familiarity with relevant technologies such as Python, PyTorch, vector databases and modern AI development frameworks. Strong ability to evaluate AI opportunities, define technical approaches and translate them into practical, scalable solutions. Experience building and developing high-performing technical teams. Experience working in a global, cross-functional R&D environment. Fluent English, written and spoken. What is nice to have: Experience in telecom, RAN, wireless communications, real-time systems or another complex technology domain. Knowledge of 4G/5G technologies and network architecture. Experience applying ML/AI to network, operational or time-series data. Experience developing AI assistants, agentic systems or intelligent automation solutions. Experience delivering products to enterprise or telecom customers with high requirements for reliability and performance. Education: B.Sc. or M.Sc. in Computer Science, Electrical Engineering or a related field. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. Build the software behind next-generation cellular networks. We’re looking for a driven PHY SW Engineer to join our R&D team and help develop advanced, carrier-grade 4G cellular communication solutions that push performance, reliability, and AI driven development forward. What you will do: • Design and build high-performance digital processing software for the baseband modem. • Optimize, debug, and root-cause complex real-time issues in carrier-grade systems. • Integrate, test, and bring up software modules all the way into the product. • Help shape software architecture for advanced cellular PHY solutions. • Apply agentic software development and LLM-based workflows What you should have: • 2+ years of hands-on software development experience with a strong focus on C++ and object-oriented design. • Excellent C++ skills and solid Python experience. • Hands-on experience with agentic software development and LLM-based workflows, with a basic understanding of AI internals and RAG. • Confidence working with Git, CI/CD pipelines, and Agile development practices. Nice to have: • Arm architecture experience. • AVX, Neon, or SIMD programming background. • Kubernetes experience. • MATLAB experience. • Knowledge of 4G/5G 3GPP standards or similar technologies. • Background in digital signal processing or wireless PHY layer technologies. Education: BSc in Electronics, Communication Engineering, Computer Engineering, Software Engineering, Signal Processing, or another relevant engineering discipline. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we help operators deliver secure, energy-efficient, automated, and flexible connectivity across 2G, 3G, 4G, 5G, and the path toward 6G. Our software-centric, hardware-agnostic approach brings intelligence into the RAN while helping customers reduce complexity and total cost of ownership. Parallel Wireless is looking for a hands-on wireless systems engineer to lead the development of a multi-RAT digital twin for our Open RAN solution. The digital twin will execute production RAN software-beginning with scheduler and MAC behavior-in a closed loop with PHY, channel, UE, traffic, and network models. It will allow engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without requiring a dedicated physical radio setup for every development cycle. This is a senior individual-contributor role at the intersection of wireless systems, simulation, production software, and AI/ML. You will evolve an existing LTE end-to-end simulator into a scalable engineering platform for feature development, regression testing, performance optimization, and evidence-based pre-validation. Initial use cases include MAC scheduler and link-adaptation improvements, power control, mobility and interference scenarios, and neural-network-assisted channel estimation. The successful candidate will understand that a useful digital twin must be both fast and trustworthy. You will define multiple fidelity levels-from rapid surrogate models to full PHY processing-and establish repeatable methods for calibrating the twin against lab or field reference data. The goal is to reduce dependence on continuous lab access while maintaining clear, measurable confidence in the simulation results. What you will do: • Own the technical architecture and roadmap for a modular, multi-RAT RAN digital twin covering LTE, 5G NR. • Integrate production MAC and scheduler software into deterministic, per-TTI/slot closed-loop simulations through stable and maintainable interfaces. • Model the interaction among scheduler decisions, PHY processing, propagation channels, UE behavior, traffic, interference, mobility, HARQ, link adaptation, and power control. • Extend the current LTE simulation capability and define reusable abstractions that support additional 5G NR and 2G stacks without duplicating the platform. • Design a fidelity ladder that combines high-fidelity PHY execution with faster calibrated models or lookup/surrogate backends, selecting the least expensive model that is valid for each engineering question. • Develop and evaluate AI/ML-based RAN capabilities, including neural channel estimation, learned link adaptation or scheduling policies, and ML-based PHY or channel surrogates. • Build representative datasets and experiment pipelines; establish conventional algorithmic baselines; measure accuracy, robustness, generalization, latency, and compute cost before recommending integration into production software. • Create reproducible A/B experiments across software builds and algorithm versions, using defined scenarios, seeds, configurations, and KPIs such as throughput, BLER/ACK-NACK behaviour, MCS, resource-block allocation, SINR, transmit power, latency, and fairness. • Establish simulation verification and validation practices: matched sim-vs-lab scenarios, calibration rules, lab-repeatability baselines, divergence analysis, model-version tracking, and evidence reports. • Prevent overfitting the twin to a single setup by separating universal model parameters, setup-specific calibration, and the production algorithms under test. • Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows. • Improve simulation speed, scale, observability, and usability so that stack, PHY, test, and AI engineers can run repeatable experiments independently. • Debug discrepancies across C/C++, Python, MATLAB, PHY models, production stack behaviour, configuration, and reference measurements. • Document model assumptions, limitations, supported operating regions, calibration provenance, and the validity of every simulation or ML backend. • Work closely with RAN stack, PHY, system architecture, AI/ML, automation, and lab-validation teams to convert product questions into measurable simulation campaigns. What you bring: • BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with substantial relevant industry experience. • Typically, 7+ years of hands-on experience in communication systems, system development, integration, or simulation. Experience with RAN, modem/PHY, or wireless systems is an advantage. • Demonstrated experience building or validating link-level, system-level, or hardware-in-the-loop simulations and explaining where a model is-and is not-valid. • Strong programming skills in C or C++ and Python, including the ability to integrate production native code with simulation and analysis tooling. • Practical experience with scientific computing and data analysis using tools such as NumPy, SciPy, pandas, and visualization frameworks. • Sound experimental and statistical judgment: reproducibility, baselines, error analysis, uncertainty, calibration, controlled comparisons, and avoidance of data leakage or curve fitting. • Experience working in Linux development environments with Git, automated testing, containers, and CI/CD. • Ability to lead a technically ambiguous initiative, make architecture decisions, and communicate clearly across research, product, development, and validation teams. Nice to have: • A PhD in wireless communications, signal processing or a related area. • Hands-on experience developing or evaluating machine-learning models for communications, signal processing, time-series data, or related domains using PyTorch, TensorFlow, or an equivalent framework. • Knowledge of LTE and/or 5G NR L1/L2 behavior, including MAC scheduling, link adaptation, HARQ, CQI/SINR feedback, resource allocation, and uplink power control. • Knowledge of digital communications and signal processing, including areas such as channel estimation, equalization, coding/modulation, MIMO, propagation and fading models. • Extend the current LTE simulation capability and define reusable abstractions that support additional 5G NR and 2G stacks without duplicating the platform. • Experience with MATLAB and Communications/LTE/5G toolboxes or equivalent PHY simulation environments. • Direct experience with production eNodeB/gNodeB software, commercial modem stacks, or Open RAN products. • Knowledge of 3GPP LTE, NR, and/or GERAN specifications and experience translating standards into executable models and test scenarios. • Experience with scheduler algorithms such as proportional fair, round robin, maximum C/I, QoS-aware scheduling, or reinforcement-learning-based resource allocation.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for highly motivated, experienced, and passionate wireless algorithm experts for the research and design of advanced cellular communication algorithms, leveraging neural networks and machine learning techniques, for our 5G and beyond products. What you'll do: • Conduct algorithmic research, balancing performance, implementation cost, real-time constraints, and time-to-market, with a strong focus on ML-based approaches for PHY layer processing. • Design and train neural network models for PHY tasks such as channel estimation, signal detection, beamforming, and decoding, targeting real-time inference on embedded platforms. • Develop algorithms from initial research and simulation through to official customer releases, including literature reviews, ML model prototyping using Python, PyTorch, and TensorFlow, MATLAB modeling, specification writing, and support throughout implementation and end-to-end integration. • Evaluate and benchmark ML-based solutions against traditional DSP approaches, considering accuracy, latency, computational cost, and overall system performance. What you should have: • 3+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow, or similar) and neural network architectures (CNNs, RNNs, transformers, autoencoders). • Familiarity with model optimization techniques for real-time deployment: quantization, pruning, knowledge distillation, and hardware-aware neural architecture search. • An independent problem solver with excellent mathematical and analytical skills. • Eager to learn and develop your professional skills in the fields of wireless communications and applied machine learning. • Team player: Excellent communication skills, and ability to thrive in a global multi-site environment. • Experience applying ML/DL to physical layer problems (e.g., channel estimation, MIMO detection, CSI feedback, learned codebooks, or end-to-end learned communication systems) - Advantage. • Experience in PHY algorithms development for wireless modems - Advantage. • Good understanding of the cellular standards (LTE/NR) - Advantage. • Experience with ONNX Runtime, TensorRT, or similar inference engines - Advantage. Education: • M.Sc / PhD in electrical engineering (major in communication theory and systems, signal processing, and/or machine learning - Advantage). Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for a highly motivated and passionate Sr. system engineer to design, implement, and integrate advanced cellular communication systems for our next-generation base-station products. Leading system activities from feature design and development to integration. Job Responsibilities: • Defining and writing system-level requirements and high-level designs. Continuously optimize and fine-tune PHY layer algorithms to enhance the performance and efficiency of the products.  • Provide technical leadership and mentorship to junior engineers within the team, fostering skill development and knowledge sharing.  • Focal point for all system, PHY and RF-related aspects. • Collaborate closely with cross-functional teams to ensure seamless integration with HW, SW, FPGA and other subsystems.  • Hands-on Lab work Job Requirements: • 5+ years of experience in wireless communication/ PHY layer development or integration.  • Good understanding of RX and TX PHY and RF chains.  • Deep understanding of Wireless communication systems.  • Working experience with RF lab test equipment.  • Solid experience with scripting languages (such as MATLAB or Python)  • Good system-level understanding within a multi-disciplinary environment (HW, SW, RF)  • Excellent communication skills in Hebrew and English (written and verbal), team player and ability to thrive in a global multi-site environment.  Preferred Qualifications: • Analytical skills – ability to triage a problem root cause in a complex system. • Familiarity and ability for SW/FW coding. • Familiarity with lab test equipment. • Demonstrated ability to leverage AI tools to accelerate troubleshooting, research, and system design tasks. Education: B.Sc. in Electrical/Computer Engineering  Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for a Senior Software Engineer to join our RIC Systems team and work on complex, large-scale distributed systems.The role combines hands-on development in Go, system design, Kubernetes-based environments, and technical problem-solving across multiple services and components. We are looking for an experienced engineer with strong technical capabilities, a collaborative approach, and the flexibility to work across different areas of the system. This role is not for someone who wants to work exclusively at one layer of the stack. It is a strong fit for an engineer who enjoys understanding why the entire system behaves the way it does. You may need to trace a problem from a Go service, through Kubernetes networking, into the Linux networking stack, across a messaging layer, and eventually into a C++ component. On another day, you may be designing how 30 services coordinate state or reviewing the architecture of a new Non-RT RIC capability. The common thread is systems thinking. You should enjoy moving between details and architecture, debugging and design, software and infrastructure. What You'll Do: • Design and develop production backend services, primarily in Go, as part of a large distributed system. • Take ownership of features and technical solutions from design through implementation and production. • Design and improve multi-service flows, including messaging, state management, concurrency, reliability, and failure recovery. • Develop and operate services in Kubernetes-based environments. • Investigate and resolve complex production and performance issues across services and system components. • Contribute to architectural decisions, technical standards, scalability, and reliability improvements. • Collaborate closely with engineers and other teams to solve cross-system technical challenges. • Mentor and support other engineers through design discussions and code reviews. What We're Looking For: • 5+ years of professional software engineering experience building complex production systems. • Strong hands-on development experience in Go, including backend services and concurrency. • Strong experience with Kubernetes, microservices, and distributed systems. • Experience with messaging and distributed infrastructure such as Kafka, NATS, Redis, or similar technologies. • Strong system-design and problem-solving skills, with the ability to understand complex flows, dependencies, bottlenecks, and failure scenarios. • Experience with communication, telecom, or networking systems – an advantage. • Experience working in Linux environments – an advantage. • Strong communication and collaboration skills and a team-oriented approach. • Flexible and adaptable mindset, with the ability to learn quickly, move between different technical areas, and work effectively in a changing environment. Nice to Have: • Experience with telecom, mobile networks, RIC, O-RAN, 5G, or 4G RAN. • Experience with high-performance or latency-sensitive systems. • Ability to read or debug C/C++ when needed. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. Parallel Wireless is looking for a hands-on systems engineer to join the development of a multi-RAT digital twin for our Open RAN solution. The role will involve contributing to the integration of production RAN software with PHY, channel, UE, traffic, and network models, and supporting the development of simulation capabilities for LTE, 5G NR, and 2G. This is a great opportunity to gain hands-on experience in RAN systems, simulation, and AI/ML within a highly technical environment. What will you do: • Contribute to the development of a modular, multi-RAT RAN digital twin covering LTE and 5G NR. • Develop and integrate production software components with simulation and analysis tooling using stable and maintainable interfaces. • Work with software and system teams to model communication-system behavior, including traffic, mobility, scheduling, interference, and performance KPIs. • Support the extension of existing LTE simulation capabilities and reusable components for additional radio technologies. • Develop software components and tools in C/C++ and Python for simulation, automation, data processing, and analysis. • Support the development and evaluation of AI/ML-based capabilities for communication systems and network optimization. • Build datasets, experiment pipelines, and automated analysis tools to evaluate system behavior and algorithm performance. • Create reproducible tests and experiments across software builds and algorithm versions using defined scenarios, configurations, and KPIs. • Support simulation verification and validation activities, including comparison with lab results and analysis of model behavior. • Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows. • Improve simulation speed, usability, observability, and automation so engineering teams can run repeatable experiments independently. • Debug issues across C/C++, Python, MATLAB, system software, configuration, and reference measurements. • Document assumptions, supported scenarios, limitations, and experiment results in a clear and structured way. • Work closely with RAN, PHY, system, AI/ML, automation, and validation teams to turn engineering questions into measurable experiments. What you bring: • B.Sc. in Electrical Engineering or an M.Sc. in a relevant field. • At least 2 years of hands-on software development experience in communication systems or a related telecom environment. • Strong software development skills in C or C++ and Python. • Good understanding of communication systems and the ability to learn new technologies and system concepts quickly. • Experience working in Linux development environments with Git, automated testing, and modern software development practices. • Strong analytical and problem-solving skills, with the ability to investigate complex technical issues independently. • Good communication skills and the ability to work effectively with software, system, algorithms, and validation teams. • Simulation experience is not required; candidates with strong software and communication-system backgrounds are encouraged to apply. Nice to have: • Experience with simulation environments, system-level modelling, or hardware-in-the-loop testing. • Knowledge of LTE and/or 5G NR, RAN, modem/PHY, or wireless communication systems. • Experience with MATLAB and communication-system simulation or analysis tools. • Hands-on experience with scientific computing and data analysis using NumPy, SciPy, pandas, or similar tools. • Exposure to AI/ML, time-series analysis, signal processing, or network optimization. • Familiarity with PyTorch, TensorFlow, Hugging Face, or other machine-learning frameworks. • Knowledge of digital communications and signal processing concepts. • Experience with automated testing, containers, CI/CD, or cloud development environments. • Familiarity with SDR, radio test equipment, lab automation, or field-log analysis. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. Parallel Wireless is looking for a Product Line Manager to own the strategy, commercial success and lifecycle of a product line in our GreenRAN™ Open RAN portfolio. You will connect operator needs and market opportunities to differentiated products, working with R&D, Sales, partners and customers. We are looking for entrepreneurial judgment that finds real customer value in disruptive technology, beyond standards compliance. What you will do: • Own strategy, positioning, roadmap, business case and lifecycle decisions, balancing operator value, differentiation, revenue and cost. • Discover operator needs, market shifts and competitive gaps, and turn them into prioritized requirements and releases with clear acceptance criteria. • Spot value in AI/ML, agentic AI, automation, cloud-native RAN, energy innovation and 5G-Advanced/6G, and turn it into lower TCO, new services or new revenue, backed by business cases that go beyond standards compliance. • Lead R&D, System Engineering, QA and Program Management through scope, schedule, quality and cost trade-offs, from concept to launch. • Own pricing and packaging recommendations, forecasts, margin targets, and revenue and adoption KPIs, and adjust the roadmap based on commercial and field results. • Engage operators through roadmap reviews, RFx responses, trials and first deployments, and support Sales and Pre-Sales on deals and proposals. • Manage partners, multi-vendor interoperability, security and regulatory needs, and the relevant 3GPP and O-RAN requirements. • Drive go-to-market and lifecycle execution with Marketing and Sales: positioning, enablement, release readiness, customer feedback and end-of-life plans. • Champion AI-first ways of working, using AI tools for market analysis and product decisions. What you bring: • B.Sc. in Electrical Engineering, Computer Science, Communications or a related field, or equivalent practical experience. An MBA is an advantage. • Typically 10+ years in telecom or wireless infrastructure, including 5+ years in product management or product line management, or equivalent experience. • A record of taking a product from concept to commercial deployment with operators, including its roadmap, business case, releases and results. • Technical understanding of 2G/3G/4G/5G RAN and of how operators deploy and run RAN products. • Direct operator engagement and sales support across RFx, trials and roadmap reviews. • A value-driven, entrepreneurial approach to AI/ML and emerging technology: start from customer problems, tell value from hype, and prioritize business outcomes. • Strong analytical, pricing and communication skills. You can lead global, matrixed teams through influence, present clearly to executives, customers and engineers, and travel internationally as needed. Nice to have: • Hands-on Open RAN and multi-vendor RAN experience. • An engineering, system engineering or solutions / pre-sales background. • Experience bringing AI/ML, automation or energy-saving RAN products to market. • Experience with hardware and software product lines, including suppliers and contract manufacturers. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we help operators deliver secure, energy-efficient, automated, and flexible connectivity across 2G, 3G, 4G, 5G, and the path toward 6G. Our software-centric, hardware-agnostic approach brings intelligence into the RAN while helping customers reduce complexity and total cost of ownership. Parallel Wireless is looking for a hands-on technical leader to build and operate a secure local large-language-model platform for the company. The platform will allow engineering and business teams to use generative AI with proprietary source code, product documentation, technical standards, test artifacts, support knowledge, and other approved internal data while keeping sensitive information within company-controlled environments. This is a senior individual-contributor role spanning applied LLM engineering, platform architecture, search and data pipelines, security, and production operations. You will turn promising prototypes into a dependable internal capability: selecting and optimizing open-weight models, building permission-aware retrieval, creating reusable APIs and tools, integrating with existing engineering workflows, and establishing objective ways to measure quality, safety, latency, capacity, and business value. The successful candidate will understand that a useful enterprise LLM is more than a model and a chat interface. It requires trustworthy source grounding, strong access controls, repeatable evaluation, careful tool permissions, observable production services, and an operating model that keeps data, indexes, prompts, models, and dependencies current. You will make pragmatic build-versus-buy decisions and choose the simplest approach—search, retrieval-augmented generation (RAG), prompting, workflow automation, or model adaptation—that meets each use case. Initial use cases may include engineering knowledge discovery, source-code understanding, troubleshooting assistance, technical-document Q&A and summarization, test and log analysis, and drafting structured engineering artifacts. The platform should be extensible to additional approved use cases as needs and model capabilities evolve. What you will do: • Own the architecture and technical roadmap for a secure, reliable, and maintainable local LLM platform deployed in Parallel Wireless-controlled infrastructure. • Partner with engineering, product, support, IT, information security, legal, and domain experts to prioritize high-value use cases and translate them into measurable product and platform requirements. • Build a modular inference and model-gateway layer with stable APIs, model routing, streaming, concurrency controls, quotas, and the ability to change models or serving backends without rewriting every application. • Evaluate open-weight language, code, embedding, reranking, and, where useful, multimodal models against PW-specific tasks; document model provenance, licenses, limitations, security posture, hardware needs, and total cost of ownership. • Optimize serving across available CPU, GPU, and accelerator resources using techniques such as continuous batching, caching, parallelism, quantization, and right-sized context limits while protecting output quality. • Design and operate RAG and enterprise-search pipelines for approved repositories, wikis, tickets, standards, design documents, test results, logs, and support content, including parsing, chunking, metadata, embeddings, hybrid retrieval, reranking, freshness, citations, and deletion. • Enforce source-system permissions throughout ingestion and retrieval so that the platform never exposes content a user is not authorized to access; integrate with company identity, SSO, role-based access control, secrets management, and audit logging. • Establish versioned evaluation datasets and automated offline and online evaluation for retrieval quality, groundedness, factual accuracy, citation quality, code correctness, task completion, latency, safety, and refusal behavior. • Create release gates and reproducible regression tests for changes to models, prompts, tools, embeddings, retrieval logic, indexes, and serving configurations; support canary releases, rollback, and clear approval paths. • Implement end-to-end observability for model and agent workflows, including traces, errors, time to first token, inter-token latency, throughput, queue time, resource utilization, saturation, availability, and user feedback. • Design safe tool-calling and agent workflows with least-privilege access, sandboxing, input and output validation, bounded execution, human approval for consequential actions, and complete traceability. • Integrate the platform into the tools employees already use—such as developer environments, source-control and CI workflows, knowledge systems, ticketing systems, and internal applications—through reusable SDKs, APIs, and reference implementations. • Build the operational foundations for production use: CI/CD, configuration and model registries, backups, disaster recovery, capacity planning, dependency and vulnerability management, incident response, and lifecycle policies for models and data. • Protect proprietary and personal information through network isolation, encryption, retention controls, redaction where appropriate, secure logging, and defenses against prompt injection, data poisoning, unsafe output handling, and model-supply-chain risks. • Determine when prompt or retrieval improvements are sufficient and when parameter-efficient fine-tuning, distillation, or other adaptation is justified by measured quality gains. • Make the platform usable beyond the core AI team through documentation, examples, training, office hours, and hands-on collaboration; use telemetry and structured feedback to improve adoption and effectiveness. • Communicate architecture decisions, quality evidence, risk, capacity, and roadmap tradeoffs clearly to technical and business stakeholders. What you bring: • BSc or MSc in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field, or equivalent practical experience. • Typically 7+ years of hands-on experience in production software, ML platform, search, data, or infrastructure engineering, including meaningful recent experience shipping LLM-powered systems; exceptional candidates with equivalent depth are welcome. • Strong Python engineering skills and experience designing maintainable APIs, services, libraries, and data pipelines. Experience with Go, Java, or C/C++ is an advantage. • Strong understanding of transformer-based language models and production inference, including tokenization, context management, batching, KV caching, parallelism, quantization, structured output, tool calling, and common model failure modes. • Demonstrated experience building production RAG or enterprise-search systems using embeddings, vector and/or lexical search, metadata filtering, reranking, source attribution, and systematic retrieval evaluation. • Experience defining task-specific LLM evaluations using representative datasets, strong baselines, domain-expert review, automated metrics, human feedback, error analysis, and regression thresholds. • Experience deploying and operating containerized services on Linux using Docker and Kubernetes or an equivalent orchestration environment. • Practical experience with GPU-backed model serving, performance profiling, capacity planning, monitoring, and reliability engineering. • Strong knowledge of distributed-system fundamentals, authentication and authorization, API security, secrets handling, encryption, auditability, and data lifecycle controls. • Experience with Git, automated testing, CI/CD, infrastructure as code, observability, and production incident response. • Sound technical judgment about quality, security, maintainability, hardware efficiency, and total cost—not just model benchmark scores. • Ability to lead an ambiguous, cross-functional initiative, explain complex AI behavior in plain language, and help other teams ship safely on a shared platform. Nice to have: • Experience operating LLMs in on-premises, private-cloud, restricted-network, or air-gapped environments. • Hands-on experience with current inference runtimes and serving systems such as vLLM, SGLang, TensorRT-LLM, llama.cpp, Ray Serve, KServe, Triton, or equivalent technologies. • Experience optimizing inference on NVIDIA and/or AMD GPUs using CUDA, ROCm, profiling tools, tensor parallelism, pipeline parallelism, speculative decoding, prefix/KV caching, or related techniques. • Experience with model and experiment registries, LLM tracing and evaluation platforms, vector databases, hybrid-search engines, and production data-orchestration frameworks. • Experience with parameter-efficient fine-tuning methods such as LoRA/QLoRA, dataset curation, synthetic-data generation, distillation, and post-training evaluation. • Experience building code intelligence, repository-aware assistants, developer tools, or IDE and CI integrations for large C/C++ and Python codebases. • Familiarity with Active Directory or another enterprise identity provider, fine-grained document authorization, data-loss prevention, secure software supply chains, model licensing, and AI governance. • Experience red-teaming LLM or agent systems for prompt injection, sensitive-data disclosure, poisoned retrieval content, excessive agency, and insecure output handling. • Knowledge of telecommunications, 3GPP, RAN/Open RAN, cloud-native network functions, or technical-support workflows. • Experience working across heterogeneous compute platforms and making performance, energy, and TCO tradeoffs for enterprise AI workloads. • Contributions to relevant open-source AI, search, MLOps, or infrastructure projects.

We are looking for a AI-Driven 4G PHY SW Tech Lead to work on the architecture, implementation, and real-time optimization of the LTE Layer 1 (PHY) software stack. You will be a technical authority for the domain, working across MAC, System, Integration, QA, and Product Management to deliver carrier-grade Open RAN solutions. A core part of the role is advancing how the team applies AI and agentic software development to a large, high-performance codebase, accelerating design, debugging, and delivery. What you will do: • Lead the design, development, and evolution of the LTE Layer 1 (PHY) software stack. • Drive PHY features end to end: architecture, implementation, optimization, testing, and production support. • Drive performance optimization, debugging, and root cause analysis for carrier-grade real-time reliability. • Shape the software architecture and technical roadmap of our Open RAN platform. • Mentor engineers, set the bar for engineering practice, and partner with MAC, System Engineering, Integration, QA, and Product Management. • Apply agentic software development and LLM-based workflows, and evaluate new tools as they emerge. What you should have: • 3+ years as a Technical Lead or Senior Software Engineer on complex software projects. • Strong knowledge of the wireless physical layer (PHY), ideally 4G/5G or another OFDM-based technology. • Hands-on experience with agentic software development and LLM-based workflows, plus a basic understanding of AI internals and RAG. • Excellent C/C++ and multi-threaded development on Linux-based real-time embedded systems. • Solid DSP fundamentals, with a track record of optimizing for latency, CPU, and memory. • Strong debugging and troubleshooting in complex embedded and distributed systems. • Fluent with Git, CI/CD pipelines, and Agile development practices. • Strong communicator who can mentor engineers and guide technical decisions across teams. Nice to Have: • Open RAN (O-RAN) architecture, eNodeB/gNodeB, or baseband software development. • SIMD optimization (AVX, SSE, NEON) on ARM and x86. • MATLAB or Python for algorithm development and validation. • Cloud-native telecom platforms, containerized deployments, or large-scale wireless infrastructure. Education: • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications, or a related technical field.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions. The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams. What you'll do: • Define and drive the technical strategy and architecture of automation. • Design, develop, and maintain scalable automation frameworks. • Develop automated tests using Python and pytest. • Integrate and maintain automation within CI/CD pipelines, including Jenkins. • Define automation best practices, coding standards, and quality guidelines. • Improve automation stability, execution time, coverage, and maintainability. • Lead debugging and root-cause analysis of complex automation and system issues. • Mentor automation engineers and conduct code reviews. • Collaborate with R&D to improve product testability and quality. • Evaluate and introduce new technologies and approaches, including AI-based testing and automation. What you should have: • 5+ years of experience in QA, test automation, or software development. • Strong hands-on experience with Python and pytest. • Experience working with complex multidisciplinary systems and products across software, hardware, and networking domains. • Experience with Linux, Docker/Kubernetes, REST APIs, networking, or distributed systems. • Experience designing and maintaining automation frameworks. • Strong knowledge of Git and CI/CD, preferably Jenkins. • Experience with AI-assisted development or testing. • Solid understanding of software testing methodologies and QA processes. • Experience with API, integration, system, and end-to-end testing. • Strong debugging and troubleshooting skills. • Experience working in Agile/Scrum environments. • Strong communication, problem-solving, and technical leadership skills. • Ability to lead technical initiatives and influence teams without formal authority. Education: • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values. We're looking for a highly motivated and experienced Sr. Principal DevOps Engineer to own the software delivery pipeline for our next-generation products — from commit to release. This is a build-and-release–centric role: you'll design the CI/CD systems the entire engineering organization depends on, drive build performance and reliability, and lead the integration of modern AI tools into the development lifecycle to improve code quality and delivery speed. What you'll do: • Own the architecture, implementation, and day-to-day reliability of our CI/CD pipelines end to end — build, test, package, publish, deploy • Cut build and test cycle times through parallelization, caching, incremental builds, and smarter agent/executor utilization • Build and maintain the build infrastructure itself: build agents, containerized build environments, artifact repositories, and dependency management • Integrate automated testing, code quality gates, static analysis, and security scanning directly into the pipeline, with clear feedback to developers • Define and enforce branching, versioning, and release strategies across teams • Treat pipelines as code — version-controlled, reviewed, reusable, and templated as shared libraries rather than copy-pasted per project • Monitor pipeline health and build reliability; hunt down flaky tests and non-deterministic builds and drive them out • Partner directly with software engineers as the internal service owner of CI — unblock failing builds, onboard new services, and make the paved path the easy path • Lead AI initiatives within the engineering group: integrate AI-driven tooling into the pipeline and the broader SDLC for code review, test generation, failure triage, and developer productivity What you should have: • 10+ years in DevOps, Build/Release Engineering, or a similar role, with CI/CD as a primary responsibility • Deep hands-on expertise with CI/CD platforms (Jenkins strongly preferred — including pipeline-as-code, shared libraries, etc) • Strong Git skills, including branching strategies, merge/rebase workflows, monorepo or multi-repo tradeoffs, and repository administration • Proficiency with Atlassian tooling — Bitbucket, Jira, Confluence — and with automating across them • Experience with artifact and dependency management (Artifactory/JFrog, Nexus, or similar), including repository layout, retention, and promotion policies • Strong scripting and automation skills in Groovy, Bash, Python, or Go • Proficiency with containers and orchestration — Docker, Kubernetes, Helm — particularly for build environments and deployment targets • Experience with test automation frameworks and integrating them into CI, plus code quality tooling (linters, static analysis, coverage, SonarQube or similar) • Working knowledge of cloud platforms (AWS, GCP, or Azure) and Infrastructure as Code (Terraform, CloudFormation) sufficient to provision and maintain delivery infrastructure • Solid Linux system administration, networking, and security fundamentals • Experience with monitoring and observability tooling (Prometheus, Grafana, ELK), especially applied to pipeline and build metrics • Familiarity with AI-assisted development tools such as Claude, GitHub Copilot, or Cursor, and an interest in bringing them into the delivery workflow • Excellent problem-solving and communication skills, with a service-oriented attitude toward the engineering teams you support Education: • Bachelor’s degree in Computer science, Engineering, or a related field. Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com. Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges — from network operations and root cause analysis to PHY simulation and uplink link adaptation. We are looking for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. This is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work from our Kfar Saba site alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks. What you'll do: • Define the end-to-end architecture for AI/ML systems, including agent orchestration, model serving, data pipelines, RAG, and evaluation infrastructure. • Drive technical decisions around models, frameworks, deployment strategies, and build-vs-buy approaches. • Prototype and implement critical components while setting engineering and code-quality standards. • Lead AI solutions from prototype to production, including CI/CD, monitoring, model lifecycle, versioning, and rollback. • Establish evaluation frameworks, benchmarks, and safety criteria for AI systems operating on network data. • Mentor engineers through architecture discussions, design reviews, and code reviews. • Collaborate with RAN Systems, PHY, L2/L3, Product, and customer-facing teams to translate network challenges into practical AI/ML solutions. • Contribute to technical roadmap discussions and customer-facing architecture discussions. What you should have: • 7+ years of experience in software or ML engineering, with significant experience delivering production systems. • Proven technical leadership and experience owning the architecture of complex systems end to end. • Strong Python skills and hands-on experience with PyTorch or similar ML frameworks. • Practical experience with LLM-based systems, including agents, tool calling, RAG, orchestration, prompt/context engineering, and evaluation. • Strong understanding of classical ML, including time-series analysis, anomaly detection, and supervised learning. • Working knowledge of 4G/5G RAN architecture, L1/L2/L3, network KPIs, and cellular network operations. • Experience with MLOps, containers, CI/CD, experiment tracking, model monitoring, and production deployment. • Excellent English and strong technical communication skills. Nice to have: • Hands-on experience in RAN, wireless infrastructure, telecom operators, or chipset companies. • Knowledge of O-RAN, RIC, rApps/xApps, and E2/A1/O1 interfaces. • Experience with link adaptation, scheduling, RRM, channel modeling, or PHY simulation. • Experience with reinforcement learning or contextual bandits for real-world control problems. • Experience deploying ML models in real-time or resource-constrained environments. • Background in signal processing, communications, or information theory. • M.Sc. / Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

Job Description We are looking for a highly skilled professional to perform deep-dive penetration tests across diverse environments. The role focuses on identifying logical flaws and executing high-impact attacks in Cloud (Azure/AWS/GCP) and On-Premises Active Directory infrastructures. As a team member, you will design complex attack scenarios and provide strategic remediation guidance to senior stakeholders. Responsibilities • Cloud Penetration Testing: Execute complex scenarios on Azure, AWS, and GCP. Focus on Identity (Entra ID), Permissions (IAM/ARM), and exploitation of misconfigured services and resources. • Active Directory & Identity: Perform advanced attacks against On-Premise Active Directory, assessing Hybrid Identity components and the synchronization security between On-Prem and Cloud. • Research & Tool Development: Strong interpersonal communication skills and ability to work independently. • Reporting & Advisory: Deliver high-level technical reports and conduct executive presentations with clear remediation steps for developers, IT teams, and management. #LI-EU Job Requirements Experience & Skills: • 3+ years’ experience in Cyber Security projects or Penetration Testing within a team environment. • Strong research and analytical skills, with a passion for solving complex security challenges. • Excellent technical writing and verbal communication skills in English and Hebrew. • Strong interpersonal communication skills, with the ability to lead projects and work independently. • Proficiency in scripting and automation (Python, PowerShell, C#, or Go). Technical Knowledge: • Cloud (Azure, AWS, GCP): Deep understanding of Entra ID (Azure AD), ARM, and RBAC models. Proven ability to identify attack paths involving Managed Identities, Service Principals, and Graph API abuse. Knowledge of AWS/GCP IAM privilege escalation and cross-account access attacks. • Active Directory: Expert-level knowledge of Kerberos, NTLM, LDAP, and ACLs. Proficiency in ADCS Exploitation, Delegation attacks, and intricate ACL manipulation. • Networking: Deep understanding of networking protocols (TCP/IP, SMB, RPC, HTTP/S) and architecture. • Coding & Tool Development: Programming capabilities with the ability to develop custom tools, automation scripts, and offensive aids to support the team and project needs. Advantages (Nice to Have): • Certifications: CRTP, CARTP, CRTE, or OSCP/OSEP. • Container Security: Knowledge of Kubernetes (K8s) security and Microservices architecture. • Knowledge of Windows internals & evasion techniques. Some projects are performed remotely, while others require on-site presence. Occasional international travel is expected. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Location: Kfar Saba, IL (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. As a Senior Frontend Engineer on our Website team, you will build and own the public face of NEXT Insurance. You will be responsible for creating seamless digital experiences, driving business growth, and optimizing our web presence for millions of small business owners across the US. This role sits at the critical intersection of high-scale engineering, product design, and growth marketing. We are looking for someone with deep expertise in React/NextJS, web performance (Core Web Vitals), SEO, and custom marketing integrations who takes pride in crafting fast, accessible, and scalable web applications. What You’ll Do • Drive Frontend Excellence: Architect, build, and scale high-performance web experiences using React/NextJS and modern frontend standards. • Master Web Performance: Own, monitor, and continuously optimize site speed and Core Web Vitals (LCP, INP, TBT) to ensure outstanding user experience and top-tier SEO performance. • Business-Driven Growth Enablement: Partner closely with Marketing, Product Managers, and Data Analysts to build tools for SEM campaigns, custom tracking, and conversion funnels.: Partner closely with Marketing, Product Managers, and Data Analysts to build tools for SEM campaigns, custom tracking, and conversion funnels. • End-to-End Ownership: Lead features across the entire lifecycle—from technical scoping and design to implementation, automated testing, deployment, and post-launch monitoring. • Architecture & Tooling: Evolve our CMS architecture, design systems, and frontend toolchains, keeping team productivity and system health high. • Raise the Bar: Maintain high code quality, advocate for best practices in automated testing, and mentor fellow team members. What We Need • Experience: 5+ years of hands-on experience in a full-stack/frontend high-scale production web environment. • Core Tech Stack: Advanced proficiency in React (or modern JS frameworks), TypeScript/JavaScript, HTML5, CSS3, Git, and integrating SDKs & APIs. • Performance & SEO Focus: Proven experience optimizing Core Web Vitals, web performance tuning, and implementing technical SEO strategies. • Backend & CMS Knowledge: Familiarity with backend/server concepts, data structuring, modern CMS architecture, and self-service concepts • Software Quality Advocate: Strong experience with automated testing frameworks (Unit, Integration, E2E) with a belief that quality is non-negotiable. • DevOps & Infrastructure Awareness: Experience working with CI/CD pipelines and familiarity with cloud infrastructure (e.g., AWS, Jenkins, Terraform). • Agentic Development (Must Have): Mandatory hands-on experience in AI-assisted agentic development workflows, utilizing AI coding assistants like Cursor and Claude to drive engineering velocity and code quality. • Mindset: A strong team player with high ownership, self-learning capabilities, and the ability to thrive in a fast-paced, high-growth environment. • Education: B.Sc. in Computer Science, Software Engineering, or equivalent practical experience. Why Join NEXT? • Impact: Your code will directly shape how hundreds of thousands of small businesses protect their dreams. • Innovation: Work with top-tier technology, modern cloud stacks, and data-driven teams. • Culture: Join a collaborative, fast-growing company in Kfar Saba that values autonomy, growth, and work-life balance. Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Location: Kfar Saba, IL (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. We’re excited to launch UpNEXT - ERGO NEXT Insurance’s new hiring and training program for early-career frontend engineers! If you’re a curious, driven developer ready to level up, this is your chance to dive into real-world projects, learn from top mentors, and build the skills to grow your tech career from day one.Our engineering stack is built around modern, scalable technologies across both the client and server side. We’re big fans of modern web tech like TypeScript, React, Angular, Node.js, and integrating AI frameworks into our workflows and product architecture. We write clean, testable code that ships to production multiple times a day through our robust CI/CD pipeline. We thrive in a fast-paced environment and are committed to staying ahead of the curve by leveraging the latest tools, AI tech, and agile best practices to support rapid development and continuous innovation. What You’ll Do: • You will solve real customer problems: work closely with Product, Design, Data, Marketing, and Backend teams to understand customer pain points and rapidly iterate on solutions that deliver the best user experience. • You will take ownership of features across the full application stack – from inception through design, UI development using React or Angular, API integrations, and Node.js backend logic, eventually bringing your feature to production at a high level of quality and test coverage. • You will work with modern AI frameworks and tools to enhance engineering efficiency and bring AI-driven capabilities to our product offerings. • You will quickly adapt to rapidly changing requirements and evolving business needs, maintaining high flexibility and a continuous learning mindset as our technologies and product roadmap evolve. Requirements: • Strong academic background from leading institutions • Minimum GPA of 85. • Please attach your academic transcript • Quick learner with a strong drive to explore, master new technologies, and adapt rapidly to changing demands. • Excellent communication and interpersonal skills Preferred Qualifications (Considered a Plus): • Prior experience in relevant professional or technical roles. • Background in technology units within the military. • Exposure to or hands-on experience with AI developer tools, AI frameworks, and LLM integrations. • Involvement in open-source projects, personal web applications (using React, Angular, or Node.js), or notable contributions on platforms like GitHub. Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Location: Kfar Saba, IL (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. Our Backend Software Engineer can expect to work with the latest backend technologies and programming languages. We’re big fans of server-side Kotlin, and we produce clean, testable code fast and push it into production several times a day via our CI / CD pipeline. What You’ll Do: • Design, build, and maintain efficient, reusable, and reliable code, ensuring high performance and responsiveness of the system. • Participate in architectural discussions and code reviews, actively contributing to elevating our engineering standards and best practices. • Identify bottlenecks, optimize database queries, and continuously improve system performance and scalability. • Embrace a 'you build it, you run it' approach, ensuring our production environments remain highly stable and observable. What We Need: • At least 3 years of proven experience in Backend development. Java/Kotlin or similar languages (Python, .NET). • A B.Sc. in Computer Science or equivalent is a must. • Excellent knowledge and understanding of OOP concepts and best practices • Hands-on development of highly distributed, cloud-based environments - an advantage. We work with AWS, but any cloud experience is a plus. • Experience working with Relational Databases and good SQL skills. • Adaptable, with a passion for quickly learning new technologies and working effectively in a dynamic environment • Good interpersonal and communication skills • Experience leading large-scale features from end-to-end is a significant plus Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Location: Kfar Saba, IL (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. Help us build a development lifecycle where AI agents work alongside every engineer. Our Developer Experience (DevEx) team builds the tools, platforms and automation that make ERGO NEXT engineers more productive. We’re looking for an experienced Software Engineer who is a developer first: you’ve built and shipped production software, you know what slows engineers down because you’ve felt it yourself, and you’re comfortable working with CI/CD, cloud and Kubernetes. You’ll take a key part in building our Agentic (AI-based) Software Development Life Cycle, where AI agents assist in designing, coding, testing and deploying our services. If you want your code to change how an entire engineering organization works, we’d like to hear from you. What You’ll Do: • Build the tools, platforms and automation that make our engineers more productive, treating our platform as a product • Take a key part in building our Agentic SDLC, applying AI agents to every step from design and coding to testing and deployment • Work across the full spectrum of cloud and applicative infrastructure, including CI/CD, Kubernetes, Terraform and AWS • Work directly with developers to understand the challenges our platform needs to solve • Initiate, plan and lead projects that improve developers’ day-to-day work and help them bring value to the business • Track adoption and impact of what you build, and iterate based on developer feedback What We Need: • 5+ years of hands-on software development in a cloud-oriented organization, building and owning production services or tools end to end (design, code, tests, review, maintenance). B.Sc. in Computer Science or equivalent • Proven record of initiating, designing, implementing and leading meaningful projects • Strong proficiency in at least one general-purpose language: Python, TypeScript, Java, Kotlin or Go • Hands-on experience with at least two of the following: CI/CD pipelines (Jenkins preferred), Infrastructure-as-Code (Terraform), Kubernetes and containers, AWS or GCP • Hands-on use of AI development tools beyond autocomplete: working with coding agents (e.g. Claude Code, Cursor), connecting them to MCP servers, and building custom instructions and workflows into daily development • Product mindset and a people person: cares about the developers using their work, is accessible and easy to work with, and thinks in terms of adoption and impact • A proficient problem solver who quickly adapts to new technologies Unstoppable Qualities: • Experience building AI-driven development systems, the kind of work you’ll do here: automated code review, an AI software factory, ephemeral AI development environments, agentic workflow orchestration, and AI-run engineering processes such as automated upgrades • Experience improving development processes and developer experience, including Internal Developer Portals and self-serve tools (e.g. Backstage) • Experience building on LLM APIs (agents, MCP, tool and prompt design) • Experience building internal tools, libraries, CLIs or automation used by other developers • Familiarity with observability tools: monitoring, logging, tracing • Knowledge of build tools (Maven, Gradle, npm, nx), software testing methodologies and tools, and Bash scripting Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Location: Kfar Saba, IL (hybrid) ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. As a fast-growing, cloud-native company, we aren't just protecting our infrastructure,we are building the security foundation that enables our scale. To drive this vision, our Security Engineering team operates at the absolute forefront of the field, embedding secure-by-design capabilities directly into our engineering DNA. We are looking for a Security Engineering Tech Lead to shape our long-term strategy, advance our automation, and deepen developer trust across the organization. This is a rare opportunity to directly influence the technical direction of a high-scale platform while mentoring a talented team of engineers, without losing your hands-on edge. What You’ll Do: • Shape and execute our cloud-native security strategy, serving as the technical lead for AWS, Kubernetes, and IAM architecture. • Partner closely with Platform Engineering to build reusable security capabilities into the engineering platform. • Scale our security posture by engineering self-service guardrails and automated controls that allow product teams to ship faster, safely. • Standardize security patterns and reference architectures that enable cross-organization scalability while reducing friction for engineering teams. • Drive secure adoption of AI-assisted development, agentic workflows, and developer productivity platforms. • Elevate the team's technical maturity by mentoring engineers, refining design reviews, and fostering a culture of security ownership. What We Need: • 7+ years in security engineering, cloud security, or a related technical security role • At least 2 years in a tech lead, staff-level, or mentorship capacity • Strong hands-on AWS security experience across IAM, networking, workload security, logging, monitoring, and cloud-native services. • Strong Kubernetes and containerized environment security knowledge • Experience with IaC, CI/CD security, distributed systems, identity, and access control • Ability to review technical designs and provide clear, practical security guidance • Strong communication skills in Hebrew and English • Proven track record of influencing stakeholders and cross-functional teams. • Demonstrated ability to lead complex technical initiatives across multiple engineering teams. Preferred Qualifications • Experience with AI, LLM, MCP, or agentic development environments. • Background in security automation, internal security platforms, or developer-facing tooling • Experience with threat modeling, security architecture, or secure design programs • Scripting or coding experience in Python, Go, or similar • Experience designing and building security automation or internal security platforms at scale. Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Location: Kfar Saba, IL (hybrid ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. We are seeking a product-minded AI Engineer to design, build, and ship end-to-end AI-driven capabilities to our system. The role focuses on rapid execution, pragmatic product and business awareness, and full-stack ownership in a fast-paced, highly dynamic environment. What You’ll Do: • Build AI-driven applications and features end-to-end, including any task necessary (UI, light devOps, data cleanups, etc.) required to achieve successful delivery. • Work with internal stakeholders and product teams to translate raw, shifting requirements into clear technical solutions. • Leverage 100% Agentic Coding workflows to maintain exceptional development velocity and capability. • Diagnose and resolve issues across the entire feature stack with a strong bias for action. • Apply critical thinking to separate essential business value from noise, actively identifying risks and challenging requirements when appropriate. What We Need: • 5+ years of meaningful software engineering experience. • Proven experience of delivering software to customers and a willingness to work on any part of the tech stack. • Daily proficiency with Agentic Coding approach (e.g., Cursor, Claude, Codex, etc.). • High comfort level with ambiguity, dynamic environments, and self-directed execution. • Strong communication skills and a pragmatic, product-first approach to problem-solving. • Hybrid Work Model: This role supports a flexible hybrid work model, requiring a minimum of three days per week on-site in the office, per company policy. Advantage • Hands-on experience developing LLM applications (most notable: Evaluations and RAG). • Background as an early-stage startup employee, founder, or active side-project builder. Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.