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 a hands-on Senior Applied AI Evaluation Engineer to improve how our RAN R&D organization analyzes engineering tickets, supports Root-Cause Analysis, recommends ownership, and learns from resolved cases. You will build rigorous evaluation datasets, establish meaningful baselines, compare internal and approved external tools, analyze failure modes, and prototype improvements across retrieval, classification, prompting, agent workflows, and model selection. This role is focused on measurable, evidence-based improvement rather than AI demonstrations. You will assess whether AI-generated conclusions are accurate, grounded in evidence, appropriately calibrated, and useful to engineering teams. As a secondary area of focus, you will analyze engineering workflows at case and team level to identify bottlenecks, handoffs, dependencies, and opportunities for process improvement. What you will do: • Define high-value RAN ticket-intelligence use cases, acceptance criteria, evaluation metrics, and quality guardrails. • Build and maintain representative, versioned evaluation datasets using resolved tickets, Root-Cause Analysis, logs, test evidence, code changes, reviews, reassignment history, and outcomes. • Establish current-tool and non-AI baselines before evaluating new LLM, RAG, search, or agent-based approaches. • Evaluate approved internal, commercial, local, and open-source solutions using secure and reproducible data-handling processes. • Measure retrieval quality, groundedness, diagnosis accuracy, citation support, routing recommendations, calibration, abstention, latency, cost, and human effort. • Design held-out, time-based, edge, and adversarial test cases while preventing data leakage and future-outcome contamination. • Analyze failures and turn incorrect conclusions, misrouting, unsupported claims, and missed evidence into prioritized improvements. • Prototype improvements in search, metadata, context construction, prompting, reranking, classification, agent workflows, and model selection. • Develop reusable evaluation pipelines, tools, services, APIs, dashboards, or documented workflows. • Work closely with AI, RAN, QA, System Integration, Release, Field, data, and engineering teams to review results and support evidence-based decisions. What you should have: • BSc or MSc in Computer Science, Data Science, Machine Learning, Statistics, Electrical Engineering, or a related field, or equivalent practical experience. • 5+ years of hands-on experience in applied machine learning, data science, search, natural-language processing, analytics engineering, or AI-enabled software systems. • Recent experience evaluating LLM, RAG, search, or agent systems using representative datasets, task-specific metrics, human review, failure analysis, and regression testing. • Strong Python and SQL skills, with experience building maintainable data pipelines, experiment workflows, services, or analytical tools. • Practical experience with several areas such as information retrieval, embeddings, hybrid search, reranking, classification, structured outputs, tool calling, or common LLM failure modes. • Strong statistical judgment, including sampling, leakage prevention, uncertainty, calibration, precision and recall, temporal drift, and controlled comparison of competing approaches. • Ability to work with semi-structured engineering data from issue-tracking systems, source control, code reviews, continuous integration, logs, dashboards, and test systems. • Clear communication skills and the ability to explain results, limitations, and tradeoffs to technical and business stakeholders. Preferred qualifications: • Knowledge of LTE, 5G NR, Open RAN, telecom-support workflows, or demonstrated ability to learn a technically complex domain through close collaboration with subject-matter experts. • Experience with enterprise search, RAG evaluation, knowledge graphs, process mining, anomaly detection, or graph-based analysis. • Familiarity with Jira, Git or Bitbucket, CI/CD telemetry, software-delivery analytics, evaluation frameworks, experiment tracking, or data versioning. • Experience working with open-weight LLMs, commercial model APIs, local inference, proprietary code, customer logs, or access-controlled engineering data. • Experience handling privacy-sensitive or regulated data in secure enterprise environments. 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 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.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Supply Chain Deliver Job Sub Function: Warehouse & Distribution Job Category: People Leader All Job Posting Locations: Kfar Saba, Center District, Israel Job Description: About Johnson & Johnson MedTech Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, and more personalized treatments. In MedTech, we blend heart, science, and ingenuity to profoundly change the trajectory of health for humanity. Learn more at https://www.jnj.com/medtech. We are searching for the best talent for a Distribution Center Manager role, to join our team located in Kfar Saba, Israel. The Distribution Center (DC) Manager is accountable for strategic planning and day-to-day management of the distribution center. The role ensures that warehousing and logistics activities meet global,regional and local standards and manages the budget to optimize costs while maintaining efficiency and quality. The DC Manager leads the team, promotes continuous improvement equal employment opportunities, and develops talent to support business growth. The DC Manager works closely with Quality and Compliance, EHS (Environmental, Health, and Safety), to establish and enforce quality and safety procedures, and ensure regulatory compliance. This includes compliance with J&J's quality policies, SOX (Sarbanes-Oxley) guidelines, and EHS regulations. The role is also responsible for site maintenance, infrastructure management, and operational continuity, with a focus on lean processes, safety, and site excellence. You will be responsible for: • Management of cross sector distribution center and transportation (inbound and outbound) • Manage all warehousing and distribution activities for the cross-sector facility, including inbound and outbound freight. Ensure compliance with safety requirements, legislation, organizational policies and procedures. Provide effective logistics and financial oversight through clear leadership and decision-making. • Implement a state-of-the-art loaner kit facility, with an organizational structure and procedures that support efficient loaner kit cycle times. • Manage relationships with subcontractors supporting distribution center operations. • Develop environmental initiatives to reduce the distribution center's environmental impact. • Strive for continuous improvement both in terms of cost and service per requirements of the marketplace and ensure the procurement process is aligned to organization guidelines leadership in projects to improve cost reduction (CIP) • Manage people in line with Credo principles. • Provide input regarding the DC budget and maintain cost controls. • Manage and resolve issues related to customer satisfaction, logistics, quality, and other aspects of warehouse operations. • Plan and conducts annual and cycle inventory counts of warehouse items. • Monthly controls of inventory adjustments in the ERP system, including an in-depth review of write-offs that do not comply with the SOP. • Works with other relevant departments to coordinate the flow of materials or products,for planning purposes. • Plan and lead warehouse activities for new product introduction (NPI) launches. • Establish personal development plans for the DC team. • Work in line with the organization's EHS culture, lead safety committees, and strengthen the safety culture in the distribution center. • Manage the employee recruitment process at the DC. • Manage distribution/transportation operations and costs. Qualifications and Requirements: • Exceptional change management and listening skills, with the ability to develop strong working relationships with multiple stakeholders across various sectors and functions. • Strong organizational, teamwork, and leadership skills, with the ability to lead a large, diverse team of professionals. • Strong oral and written communication skills in English, with the ability to communicate to a wide variety of audiences. • Strong Customer Orientation • Ability to develop creative approaches in an ambiguous environment. • undefined • Bachelor’s or Master’s degree in Logistics, Engineering, Finance, Economics, or Business Management, aligned with the listed major responsibilities. Job location: DC – Kfar Saba Required Skills: Preferred Skills: Collaboration, Compliance Management, Cost Management, Demand Forecasting, Developing Others, Distribution Management, Distribution Resource Planning (DRP), Fact-Based Decision Making, Inclusive Leadership, Inventory Optimization, Leadership, Operations Management, Order Management, Organizing, Program Management, Strategic Supply Chain Management, Team Management, Transportation Management, Warehouse Management

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Supply Chain Deliver Job Sub Function: Warehouse & Distribution Job Category: People Leader All Job Posting Locations: Kfar Saba, Center District, Israel Job Description: About Johnson & Johnson MedTech Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, and more personalized treatments. In MedTech, we blend heart, science, and ingenuity to profoundly change the trajectory of health for humanity. Learn more at https://www.jnj.com/medtech. We are searching for the best talent for a Distribution Center Manager role, to join our team located in Kfar Saba, Israel. The Distribution Center (DC) Manager is accountable for strategic planning and day-to-day management of the distribution center. The role ensures that warehousing and logistics activities meet global,regional and local standards and manages the budget to optimize costs while maintaining efficiency and quality. The DC Manager leads the team, promotes continuous improvement equal employment opportunities, and develops talent to support business growth. The DC Manager works closely with Quality and Compliance, EHS (Environmental, Health, and Safety), to establish and enforce quality and safety procedures, and ensure regulatory compliance. This includes compliance with J&J's quality policies, SOX (Sarbanes-Oxley) guidelines, and EHS regulations. The role is also responsible for site maintenance, infrastructure management, and operational continuity, with a focus on lean processes, safety, and site excellence. You will be responsible for: • Management of cross sector distribution center and transportation (inbound and outbound) • Manage all warehousing and distribution activities for the cross-sector facility, including inbound and outbound freight. Ensure compliance with safety requirements, legislation, organizational policies and procedures. Provide effective logistics and financial oversight through clear leadership and decision-making. • Implement a state-of-the-art loaner kit facility, with an organizational structure and procedures that support efficient loaner kit cycle times. • Manage relationships with subcontractors supporting distribution center operations. • Develop environmental initiatives to reduce the distribution center's environmental impact. • Strive for continuous improvement both in terms of cost and service per requirements of the marketplace and ensure the procurement process is aligned to organization guidelines leadership in projects to improve cost reduction (CIP) • Manage people in line with Credo principles. • Provide input regarding the DC budget and maintain cost controls. • Manage and resolve issues related to customer satisfaction, logistics, quality, and other aspects of warehouse operations. • Plan and conducts annual and cycle inventory counts of warehouse items. • Monthly controls of inventory adjustments in the ERP system, including an in-depth review of write-offs that do not comply with the SOP. • Works with other relevant departments to coordinate the flow of materials or products,for planning purposes. • Plan and lead warehouse activities for new product introduction (NPI) launches. • Establish personal development plans for the DC team. • Work in line with the organization's EHS culture, lead safety committees, and strengthen the safety culture in the distribution center. • Manage the employee recruitment process at the DC. • Manage distribution/transportation operations and costs. Qualifications and Requirements: • Exceptional change management and listening skills, with the ability to develop strong working relationships with multiple stakeholders across various sectors and functions. • Strong organizational, teamwork, and leadership skills, with the ability to lead a large, diverse team of professionals. • Strong oral and written communication skills in English, with the ability to communicate to a wide variety of audiences. • Strong Customer Orientation • Ability to develop creative approaches in an ambiguous environment. • undefined • Bachelor’s or Master’s degree in Logistics, Engineering, Finance, Economics, or Business Management, aligned with the listed major responsibilities. Job location: DC – Kfar Saba Required Skills: Preferred Skills: Collaboration, Compliance Management, Cost Management, Demand Forecasting, Developing Others, Distribution Management, Distribution Resource Planning (DRP), Fact-Based Decision Making, Inclusive Leadership, Inventory Optimization, Leadership, Operations Management, Order Management, Organizing, Program Management, Strategic Supply Chain Management, Team Management, Transportation Management, Warehouse Management

Description זו ההזדמנות שלך להצטרף לנבחרת המנצחת של בנק דיסקונט כבנקאי.ות שירות בסניפי מרחב צפון. שואפ.ת לפתח קריירה בארגון פיננסי מוביל וצומח? מקומך איתנו! התפקיד כולל מתן שירותים בנקאיים מקיפים ללקוחות הבנק, ביצוע פעולות שיווק ומכירה של מוצרי הבנק, טיפול בדוחות פנימיים ועוד. הזדמנות מצוינת ללמוד ולהשתלב בתחום הבנקאות! • הכשרה פיננסית מקיפה עלינו, בסיומה תתקבל תעודת בנקאי.ת • תנאי שכר תחרותיים, סביבת עבודה תומכת ודינמית • מסלולי קריירה והתפתחות • העסקה כעובד.ת בנק מהיום הראשון - ללא תקופה קצובה מראש • סניף ללא פיצול *שעות המשרה בהתאם לפעילות הסניף -א'-ה'/ב'-ו' (08:00-16:00 / ימי ו' 08:00-14:00) Requirements • תואר ראשון - יתרון • אוריינטציה מכירתית • תודעת שירות גבוהה

Description שואפ.ת לפתח קריירה בארגון פיננסי מוביל וצומח? מזמינים אותך להצטרף לנבחרת המנצחת של בנק דיסקונט! התפקיד הינו מתן שירותי קופה ושירותים פיננסיים ללקוחות הבנק (כגון הפקדות ומשיכות מזומן ושיקים, תשלום שוברים) וביצוע פעולות שיווק באופן פרונטאלי (צירוף לבנקאות הישירה, לאינטרנט ולאפליקציית דיסקונט). *שעות המשרה בהתאם לפעילות הסניף א'-ה'/ב'-ו' יום א'+ג'+ה' - 08:00-15:00 יום ב'+ד' ימי פיצול- 08:00-18:45 יום ו' -08:00-14:00 הזדמנות מצוינת ללמוד ולהשתלב בתחום הבנקאות! • הכשרה פיננסית מלאה עלינו • סביבת עבודה תומכת ודינמית • מסלולי קריירה והתפתחות • העסקה כעובד.ת בנק מהיום הראשון Requirements • תעודת בגרות מלאה - חובה • תודעת שירות גבוהה • סדר וארגון

Description מזמינים אותך להצטרף לנבחרת המנצחת של בנק דיסקונט! בנק דיסקונט מגייס בנקאים ובנקאיות לסניפי הבנק ברחבי הארץ. התפקיד כולל: מתן שירותים בנקאיים מקיפים ללקוחות הבנק, ביצוע פעולות שיווק ומכירה של מוצרי הבנק, טיפול בדוחות פנימיים, גיוס לקוחות חדשים והרחבת פעילות, ועוד. הזדמנות להשתלב בארגון מוביל ויציב, לבנות קריירה עם אופק מקצועי ולהנות מסל הטבות ופינוקים! • הכשרה פיננסית מקיפה בשכר מלא • מסלולי למידה והתפתחות רבים • העסקה כעובד.ת בנק מהיום הראשון - ללא תקופה קצובה מראש • משרה מלאה, 5 ימים בשבוע. בימים שני ורביעי - העבודה הינה גם בשעות אחה"צ. Requirements • תואר ראשון - חובה • תודעת שירות גבוהה, ייצוגיות • יכולת עבודה בצוות ובאופן עצמאי • ארגון, סדר ועבודה ע"פ נהלים

PM GI HCC Introduction to role This role leads the brand strategy for GI HCC, from design and planning through to implementation and evaluation. It covers all marketing activities for the assigned products, including multi-channel and digital solutions such as social media, inside sales and distribution strategy. The position owns all marketing materials and communications for the product, drives marketing programmes and implements changes, and analyses market data to identify key segment drivers. As an active, leading member of a cross-functional team including FLSM, Medical, Regulatory, Diagnostic and Market Access, this role ensures sharp execution of tactics that truly move the needle for patients living with cancer. Accountabilities In this role, responsibility spans the full brand lifecycle. This includes preparing, updating and executing robust Brand Plans that deliver both short- and long-term market share and profitability targets. Market and customer insights are gathered and interpreted to shape strategy: segmentation, SWOT, competitor analysis and sector developments are translated into clear operational plans that stay current in a fast-changing environment. Strategic decisions are led to improve business performance, while brand strategy and plans are developed and implemented in close collaboration with Sales Management, Medical, Regulatory, Diagnostic and Market Access. Synchronisation with the cross-functional team is maintained through clear, continuous communication and strong relationships, increasing recognition and awareness of the brand strategy across AstraZeneca. Close bilateral communication with the product promotion team via FLSMs ensures strategic and operational plans are implemented effectively across Israel, with regular feedback loops and follow-up on execution. The role also maintains effective links with global brand teams and marketing groups to share information and effective practices. Field presence is key: dual visits with the product promotion and medical teams help identify and solve issues quickly, while strong relationships are built and maintained with Opinion Leaders to shape and support the brand’s impact. Ready to influence how GI HCC care evolves? Essential Skills/Experience • At least 2 years of PM experience in pharma sector, from Oncology Therapy Area and if possible, breast and optional • Strategic thinker with ability to set product vision • Effective at teamwork and have ability to lead a cross team • Have a strong scientific knowledge • Can create strong relationships with customers and leading KEEs • Excellent communication and presentation skills • Have a strong analytical skill • Has the ability to accept changes & fast adaptation, agility skills • Bachelor’s degree- life science area from a reputable university • Very good command of written and spoken English Desirable Skills/Experience • Previous experience in Oncology • Master's degree in life sciences or business administration AstraZeneca offers the chance to combine scientific depth with commercial impact, working across a broad and innovative oncology pipeline that turns transformative ideas into real treatments for people living with cancer. Commercial leaders here are trusted to take initiative, challenge norms and make quick, smart decisions, with science as the guide rail. Collaboration is genuine: diverse teams co-create solutions, share best practice and learn from both success and failure, all in an environment that values authenticity, accountability and continuous learning. With a strong focus on inclusion, empowerment and entrepreneurial thinking, this is a place to shape the future of cancer care while building a career grounded in commercial excellence and meaningful impact. If this role excites you and you are ready to step up, innovate and help change the way cancer is treated, please apply now. Date Posted 07-Oct-2026 Closing Date 27-Feb-2027 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. 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.