DriveNets

Description DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role We are seeking outstanding Electrical Engineering graduates to join our Electrical Compliance team and gain hands-on experience with cutting-edge networking technologies and best-in-class ASIC interfaces. Responsibilities • Operate and maintain test equipment for compliance and validation processes. • Perform switch platform testing to ensure reliability and performance. • Work with advanced ASIC interfaces, including Ethernet, PCIe, USB, SPI, UART, and I2C. • Assist in troubleshooting and analysing electrical compliance issues. • Collaborate with senior engineers to improve testing methodologies. • Work on complex technical assignments and develop creative solutions to challenging problems. • Write and maintain automation scripts for testing, data collection, and analysis. • Use AI-based tools such as ChatGPT, Claude, and Cursor to support development, troubleshooting, automation, and self-learning. Career Growth Opportunities • Gain real-world experience in compliance testing and hardware validation. • Learn from industry-leading engineers and expand your technical expertise. • Build skills in automation, data analysis, and advanced networking technologies that are highly valued in the industry. • Develop strong capabilities in independent learning, problem-solving, and working with complex technical systems. What We Offer • Exposure to state-of-the-art networking technologies. • Opportunity to work on real-world compliance challenges. • Mentorship from industry experts. • Learn from the best and build the future of networking. Ready to launch your career? Apply now and start building the future with DriveNets. Please attach your gradesheet. Requirements • B.Sc. in Electrical Engineering from a recognized institution. • 0–4 years of relevant experience. • Strong understanding of digital interfaces and protocols. • Familiarity with test equipment such as oscilloscopes, logic analysers, and other lab equipment. • Experience writing automation scripts and a willingness to develop testing automations. • Strong ability and motivation to learn independently, including through AI-based tools such as ChatGPT, Claude, and Cursor. Experience with these tools is a must. • Ability to work independently and in a team environment. • Excellent problem-solving and communication skills. • Full-time availability for an on-site role at our Ra'anana office. Preferred Qualifications • Experience with high-speed interfaces and compliance testing. • Previous experience working with test equipment and electrical validation. • Knowledge of ASIC architecture and networking hardware. • Experience handling complex technical tasks and troubleshooting challenging issues. • Hands-on experience with scripting in Python, Bash, or C for automation. • A degree from a leading academic institution is an advantage, but not a requirement.

Description About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Responsibilities - Lead end-to-end recruiting processes, partnering closely with hiring managers to attract the best talent to DriveNets. - Creatively source candidates using diverse online channels to discover the best potential talent. - Conduct HR interviews and convey your feedback on candidates' cultural and personal fit. - Ensure the best possible candidate experience throughout the recruiting process. • - Work effectively in a fast-paced environment, both independently and as part of a team. Requirements Technical Skills - 5+ years of experience recruiting for hi-tech companies or leading agencies. - Proven experience working and partnering with hiring managers, colleagues, and candidates. - BA or BS degree in Business Administration, Human Resources, a related field, or equivalent work experience. - Proficiency with professional sourcing tools and diverse online channels. Soft Skills - Excellent communication skills. - High level of English. - Can-do approach. - Comfortable working in a fast-paced environment. - Ability to work independently as well as in a team. Nice to Have / Advantage - Experience recruiting for technical or R&D roles (networking, AI infrastructure, or software engineering). If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: • https://drivenets.com/company/

Description About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware. In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform. We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA). Key Responsibilities • Test Platform Architecture & Software Development: Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites. • Codebase Unification & Refactoring: Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments (Python, C# / Visual Studio, VB, ATEasy, Linux) into a unified, maintainable test execution engine. • AI-Accelerated Development & Workflow Automation: Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience. • Production Line Deployment & Stabilization: Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved. • Failure Investigation & Intelligent RCA: Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes. • Ongoing Test Maintenance & Optimization: Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines. • R&D Collaboration & Test Specification: Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability, • Documentation & Technical Reporting: Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports. • Manufacturing Systems Integration: Integrate automated test sequences with CM’s SFC/MES/QMS, serialized tracking, and central test log databases. • Log Analysis & Analytics Tool Development: Design and build dedicated log parsing, data visualization, and diagnostic analytics tools to streamline complex hardware/software debugging, accelerate root-cause analysis (RCA), and drive continuous production line cycle-time and yield optimization. Requirements • B.Sc. in Electrical Engineering, Software Engineering, Computer Science, or equivalent practical experience. • 5+ years of hands-on experience in ATE software development and production test engineering for complex telecom, networking, or optical hardware products. • Advanced, everyday practical mastery of AI-assisted engineering tools (e.g., GitHub Copilot, Cursor, LLM-based coding agents, automated prompt-driven refactoring) to radically accelerate code delivery, debug legacy systems, and enforce code quality. • Strong software engineering skills in Python and Linux environments. • Practical experience with test development in C# (.NET / Visual Studio), VB, or specialized test sequencers such as ATEasy. • Proven track record of deploying, commissioning, and stabilizing ATE test benches at overseas tier-1 EMS/CM facilities. • Strong grasp of digital and communication protocols (PCIe, I2C, SPI, MDIO, UART, Ethernet) and familiarity with lab equipment (oscilloscopes, power supplies, high-speed traffic generators). • Strong analytical and debugging skills to isolate issues between hardware defects, firmware bugs, test software, and fixture/cabling failures. • Experience writing clear engineering documentation, test procedures (SOPs), and technical root-cause reports. • Excellent verbal and written English communication skills; readiness to support global manufacturing sites (including occasional international travel for line bring-up). • Proven hands-on experience integrating ATE platforms and automated test tools with Contract Manufacturers MES, QMS, and Shop Floor Control (SFC) systems for automated serialization, unit routing, and quality data logging. Preferred Qualifications • Experience with high-density Ethernet switches, data center networking architectures. • Hands-on experience testing high-speed optical transceivers and SerDes interfaces. • Strong advantage: Practical knowledge of high-speed SerDes configuration, link-tuning, and signal integrity validation. • Experience implementing AI/ML-driven log parsers, anomaly detection, or predictive yield analytics for manufacturing telemetry. • Experience integrating JTAG / Boundary Scan tools (JTAG Tech’) into automated manufacturing flows. • Familiarity with database architectures (SQL), data analytics, and SPC for production yield monitoring.

Description Senior DevOps Engineer - Cybersecurity Hybrid | Israel About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. DriveNets' Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments — often air-gapped, with no data leaving their premises. Responsibilities • Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies). • Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal. • Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout. • Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback. • Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers. • Provide on-call support for dev/staging environments and customer stamps. • Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana — dashboards and alerts across services, Kafka, databases, and GPUs. • Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding. Requirements Technical Skills • 5+ years of DevOps / platform engineering experience in a product company. • Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control. • Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering. • Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch). • Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry. • Comfortable operating in air-gapped environments without managed cloud services. Soft Skills • Strong cross-functional collaboration — works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding. • Comfortable owning production reliability and on-call responsibilities. Nice to Have / Advantage • Experience with OpenShift, KEDA, and Temporal. • Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar). • GPU scheduling and node readiness, model packaging for offline delivery. • Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse). If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role We are looking for an NPI & System Product Engineer to drive the transition of advanced networking switches and data center infrastructure systems from late-stage R&D validation & NPI into scalable mass production. In this role, you will lead the handoff from DVT completion into PVT entry, support the setup and deployment of new production lines at global Contract Manufacturers, and execute capacity ramp-up plans toward High-Volume Manufacturing. You will serve as the technical operational link between R&D design/NPI teams and factory lines, ensuring line balancing, fixture readiness, yield optimization, and hands-on root-cause failure analysis (RCA). Key Responsibilities Production Readiness: • Support the technical handoff from R&D DVT exit to Operations PVT readiness. • Track and verify closure of open DVT hardware issues, check BOM readiness, and validate manufacturing gating criteria before mass production. • Execute PVT build plans to ensure product design tolerances align with factory process capabilities. New Production Line Setup & Deployment: • Participate in the setup, line balancing, and deployment of new manufacturing lines and assembly workcells for chassis and full-rack integrated systems at CM facilities. • Validate physical workstation setups, line assembly flows, operator guidelines, and improve processes. • Verify assembly fixtures, press-fit tooling, and automated test stations during new line deployment. • Create and maintain production test procedures. Capacity Ramp-Up & Takt Time Optimization: • Monitor station takt times, identify line bottlenecks, and drive cycle-time reduction initiatives. • Support the duplication and operational verification of line fixtures, tooling, and test stations to meet capacity scaling targets. • Track production ramp-up from pilot runs through full-rate High-Volume Manufacturing. System Product Engineering & Yield Optimization: • Monitor key manufacturing metrics across PCBA & box-build assembly lines: First Pass Yield (FPY), Line Fallout, and Scrap Rate. • Use Statistical Process Control (SPC) and factory telemetry logs to identify systemic yield detractors. • Assist in refining production test limits, calibration procedures, and screening guardbands during volume ramp. Root Cause Analysis (RCA) & Debugging: • Perform hands-on failure triage on system-level dropouts, intermittent hardware faults, and line fallouts during PVT and ramp-up. • Use schematics, Cadence Allegro board layouts, scopes, JTAG, and diagnostic tools to isolate component vs. process defects. Requirements • B.Sc. in Electrical Engineering, Computer Engineering, or equivalent technical degree. • 3–5 years of hands-on NPI / System Product Engineering experience specifically in high-performance telecommunications, data center networking switches/routers, enterprise servers, optical hardware. • Hands-on experience participating in DVT-to-PVT transitions, new production line setup, and factory volume ramp-ups at CM facilities. • Solid understanding of electronics production processes (Press-fit, boundary scan, functional tests, thermal stress chambers, box-build, and rack integration). • Good understanding of complex digital architectures: high-throughput network switch ASICs, high-speed SerDes, power delivery subsystems, and optical transceivers. • Demonstrated ability to isolate intermittent hardware, component, and assembly defects using structured RCA/8D approaches. • Fluent English (written and verbal); willingness and ability to travel to overseas manufacturing sites for new line deployments, PVT builds, and factory reviews. Advantages / Preferred Background • Liquid Cooling Manufacturing Experience (Significant Advantage): Practical experience with liquid-cooled hardware in a production environment, including cold-plate assembly, manifold routing, quick-disconnect handling, liquid system processes on production lines. • Proficiency in data analytics and scripting tools for automated log analysis and yield tracking. • Working knowledge of enterprise PLM systems (Agile, Arena) and schematic/layout viewers (Allegro / OrCAD).

Description Hybrid #LI-Hybrid The Company DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. An empty job that is used for creating requisitions 'from scratch. The Role DriveNets is seeking a Principal Technologist to be a senior technical leader within our Pre-Sales organization, focused on the compute side of AI infrastructure. Join a dynamic and forward-thinking company at the forefront of AI infrastructure transformation. We partner with hyperscalers, emerging NeoClouds, and enterprises building AI/HPC GPU compute clusters, helping them get maximum performance and utilization out of their compute platforms. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact on multi-million-dollar customer engagements. As a Principal Technologist, you will serve as the senior technical authority on AI compute infrastructure in complex pre-sales cycles. You will lead solution design for DriveNets' most strategic opportunities globally – working independently or alongside Solutions Architects and Sales teams to translate customer compute and workload requirements into scalable, differentiated technical solutions. You will engage at the C-level and VP level with hyperscalers, NeoClouds, service providers, and large enterprises, and will serve as a thought leader and enabler both internally and externally on GPU/accelerator compute architecture. Responsibilities • Own the technical architecture for DriveNets' most complex and high-value customer opportunities – spanning AI/HPC GPU and accelerator compute cluster design, workload performance, and the compute-to-network interface. • Partner with Sales and Solutions Architects from early discovery through deal closure, establishing DriveNets as the technically superior choice for customers building next-generation AI compute infrastructure. • Lead proof-of-concept design and execution – defining success criteria, driving GPU cluster benchmarking plans (training/inference throughput, scaling efficiency), and ensuring results are communicated with the rigor and clarity that wins technical confidence at the customer. • Engage directly with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises – building relationships that outlast any single deal. • Serve as a product feedback engine – capturing deep field insights on GPU/accelerator platform trends and workload behavior, translating them into concrete requirements for DriveNets' Product Management and Engineering teams. • Define and publish architecture playbooks, reference designs, and best practices for AI compute infrastructure that scale DriveNets' technical go-to-market across the Solutions Architect and Solutions Engineer community. • Lead and mentor Solutions Architects and Solutions Engineers, raising the overall technical bar of the pre-sales organization on compute and workload topics. • Represent DriveNets at industry events, author white papers and technical blogs, and build DriveNets' external technical brand in the AI compute infrastructure space. Requirements What we need to see: • 12+ years of experience in data center compute infrastructure architecture and design, with at least 3 of those years focused on AI/HPC GPU or accelerator platforms and hyperscale environments. • Extensive hands-on depth in GPU/accelerator compute architecture – GPU/accelerator hardware and system design (NVIDIA/AMD), compute cluster orchestration (Kubernetes, Slurm), and distributed training/inference frameworks. • Proven track record in senior pre-sales, solutions architecture, or system architecture roles, including direct experience influencing large, complex deals with VP and C-level stakeholders. • Experience with GPU virtualization and partitioning – including MIG/vGPU, containerized ML workloads, and bare-metal GPU provisioning – and their role in maximizing compute utilization in AI environments. • Experience with scripting and automation (Python, APIs, JSON) in the context of ML infrastructure operations and solution integration. • Exceptional communication and presentation skills – able to command a room of engineers and a room of C-suite executives with equal credibility. • Willingness to travel domestic and international approximately 10%. Ways to stand out from the crowd: • Deep familiarity with AI/ML frameworks (PyTorch, TensorFlow, JAX) and how model architecture and training/inference patterns drive compute cluster requirements. • Experience with NCCL/RCCL tuning and GPU cluster benchmarking (e.g., MLPerf), and understanding of collective communication behavior at scale. • Hands-on knowledge of scale-up (NVLink, UALink) interconnect trade-offs and how they interact with scale-out network design in production AI cluster environments. • Familiarity with GPU resource scheduling and orchestration (Slurm, Kubernetes, Ray) and how it interacts with compute cluster design and multi-tenant utilization. • Experience with GPU observability and telemetry (DCGM, Prometheus, Grafana) in large-scale AI compute environments. • Understanding of data center operations fundamentals – power, cooling, and rack design – as they relate to high-density GPU compute at hyperscale. • NVIDIA/AMD platform certifications, or equivalent – advantage. Education • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience. If your experience is close but doesn’t fulfil all requirements, please apply. DriveNets is on a mission to build an innovative company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More about DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/

Description Board Design Engineer Location: Raanana #LI-Hybrid About Us: DriveNets is a leader in disaggregated high-scale solutions for service providers and AI infrastructures. Founded in December 2015, DriveNets created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade . This solution accelerates deployment, improves the ’s economic model, and radically simplifies operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&T’s traffic now runs through a disaggregated core powered by DriveNets software. DriveNets Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, DriveNets continues to deploy the most innovative infrastructure and is looking for the most talented people to be part of this journey. The Role We are seeking a highly skilled and experienced multidisciplinary engineer with a strong background in system design to join our team. In this role, you will contribute to our upcoming projects and play a key part in the rapid expansion of the Ethernet market. As a such, you will be responsible for developing high-speed digital and analog circuit boards used in Ethernet products. Your duties will include designing board schematics, overseeing PCB layout, and conducting lab . Additionally, you will be responsible for evaluating new hardware solutions, providing technical leadership in troubleshooting and reviewing schematics, layouts, and design for manufacturability (DFM), as well as managing components selection. Requirements • Bachelor's or Master's degree in Electrical Engineering with 5+ years of relevant experience in hardware/board design- Must. • Expertise in PCB technology and layout for both analog and digital circuits, including stack-up, placement, routing, and signal/power integrity (SI/PI) for high-speed (ETH112G, PCIe Gen5, DDR5, etc.) and high-power systems. • Hands-on experience in high-precision signal measurement and system engineering. • Strong troubleshooting skills, with the ability to diagnose issues, identify root causes, and implement corrective actions. • Excellent verbal and written communication skills in English, enabling collaboration with design, evaluation, and production engineers, customers, technical marketing engineers, and program managers. • In-depth understanding of system architecture. • Programming knowledge and experience (a plus but not required).

Description About DriveNets DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role We are seeking an experienced and highly motivated Data Center Manager to lead the planning, operation, growth, and strategic development of our global lab and data center infrastructure. This role combines technical leadership, operational excellence, team management, and long-term capacity planning to support the company's rapid growth and evolving technological needs. Reports To: VP Global IT The ideal candidate will bring extensive experience in large-scale data center environments, strong networking expertise, and a proven ability to lead teams and manage multiple sites while ensuring high availability, efficiency, and scalability. Key Responsibilities Leadership & Team Management • Partner with lab customers to define long term infrastructure roadmaps, anticipate future needs, and align lab growth with business and engineering objectives. • Lead, mentor, and develop a team of data center and lab engineers. • Establish operational standards, processes, and best practices across all lab locations. • Drive a culture of accountability, innovation, and continuous improvement. • Manage resource allocation and prioritize activities to meet business objectives. Data Center & Lab Operations • Oversee the day to day operation of company labs and data center facilities. • Ensure high availability, reliability, and operational excellence across all environments. • Maintain real time visibility into lab status, capacity, utilization, and health. • Monitor infrastructure components, resource consumption, and workload distribution across the labs. • Provide ongoing operational reporting and status updates to management. Strategic Planning & Capacity Management • Define and execute the long term growth strategy for the company's lab and data center infrastructure. • Forecast capacity requirements and proactively plan infrastructure expansion. • Monitor utilization trends, workload distribution, and resource consumption. • Optimize infrastructure allocation to maximize efficiency, performance, and scalability. • Develop forward looking plans to support upcoming projects and business initiatives. Infrastructure Expansion & Projects • Lead the design, deployment, and commissioning of new data centers and lab facilities. • Plan and manage expansion projects for existing sites. • Coordinate infrastructure initiatives across multiple locations and stakeholders. • Ensure projects are delivered on time, within scope, and aligned with business needs. • Manage infrastructure lifecycle planning, including upgrades, replacements, and capacity enhancements. Technology Innovation • Evaluate, introduce, and implement emerging technologies to maintain technological leadership. • Drive modernization initiatives across compute, networking, power, cooling, and monitoring systems. • Continuously assess opportunities to improve operational efficiency, automation, and scalability. • Stay ahead of industry trends and recommend technology investments that support future growth. Stakeholder & Customer Engagement • Serve as the primary point of contact for internal lab customers and stakeholders. • Collaborate with engineering, product, operations, and IT teams to understand evolving requirements. • Translate business and engineering needs into scalable infrastructure solutions. • Ensure transparency and communication regarding lab capabilities, utilization, project status, and future capacity planning. Requirements Must Have • 10+ years of experience in data center operations, infrastructure management, or related fields. • Strong hands-on expertise in networking technologies and large scale network infrastructures. • Proven experience managing teams of at least 10 employees in a global company. • Experience managing multiple data center or lab locations simultaneously. • Demonstrated success in capacity planning, infrastructure growth, and operational management. • Experience leading data center construction, expansion, or large scale infrastructure deployment projects. • Strong project management and execution skills. • Excellent leadership, communication, and stakeholder management capabilities. • Ability to operate effectively in a fast-paced, high-growth technology environment. Nice to Have • Experience with liquid cooling technologies and next-generation data center cooling solutions. • Experience building or operating high density AI, HPC, or large scale compute environments. • Familiarity with infrastructure monitoring, automation, and orchestration platforms. • Experience managing global lab environments supporting R&D and product validation activities. Success Metrics • High availability and operational stability across all lab and data center environments. • Accurate capacity planning and proactive infrastructure scaling. • Efficient workload balancing and optimal resource utilization. • Successful delivery of infrastructure expansion and modernization projects. • Continuous adoption of innovative technologies and operational improvements. • High internal customer satisfaction and strong cross functional collaboration. • Development and retention of a high performing infrastructure team. Why Join Us This is a unique opportunity to shape the future of a rapidly growing technology organization by leading the strategy, growth, and operation of critical lab and data center infrastructure. You will play a key role in enabling innovation, supporting engineering excellence, and building the foundation for the company’s next stage of growth. More About DriveNets   Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/ ;

Description DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers, and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic runs on DriveNets’ Network Cloud open disaggregated architecture. Having raised $587 million in three funding rounds, DriveNets is disrupting the networking market with high-scale architectures and cloud-native platforms. We are seeking people who want to make an impact on the world’s leading communication networks and have experience building large-scale distributed systems. The Group The Management Plane group builds high-performance customer interfaces and core frameworks for configuring and monitoring large-scale distributed systems. This includes a distributed transaction framework, large-scale operational state monitoring and telemetry, and APIs for interacting with the system’s configuration and runtime state. The group serves both external customers and internal R&D teams that integrate their features into the product. Meeting the system’s scale and performance requirements often requires more than incremental improvements. The group frequently undertakes large-scale improvements, deep optimizations, and systemic architectural redesigns to ensure performance and reliability in a resource-constrained environment. The Role We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems. This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers. This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end. Requirements • 7+ years of professional experience as a software engineer, building and maintaining production systems. • Demonstrated ability to lead the design and implementation of complex systems. • Proven experience designing and implementing classical algorithms (not AI/ML) and data structures in production environments. • Strong experience with database systems, both SQL and NoSQL, including schema design and performance considerations. • Ability to quickly learn new technologies and programming languages and apply them effectively to complex systems. • Strong proficiency in C++ and Python. • Experience with Rust — an advantage. • BSc in Computer Science or a related field, or equivalent practical experience.

Description The Role We're building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence. You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers. If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you. What You'll Do - Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators. - Translate customer requirements into APIs, workflows, and data models in collaboration with the team. - Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support. - Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines. - Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity. - Participate in code reviews, share knowledge, and help improve engineering practices. - Troubleshoot issues and improve service performance, observability, and operational readiness. Requirements - 3 years of experience managing a software development team. -5+ years of professional software development experience, including building and maintaining production backend services. - Strong backend development skills, preferably in Python, and experience building REST and/or GraphQL APIs. - Practical understanding of distributed systems concepts, including scalability, resilience, and failure handling. - Experience with SQL and/or NoSQL databases, data modeling, and query performance. - Experience writing automated tests and working with Git and CI/CD workflows. - Familiarity with multithreading, locks and synchronization mechanisms, performance analysis and optimization. - Ability to take ownership of features, communicate clearly, and collaborate effectively within a small team. Nice to Have - Familiarity with TypeScript, React, and modern web application architecture. - Experience with cloud platforms (AWS, GCP, or Azure), containers, and Kubernetes. - Experience with observability tools such as OpenTelemetry, Prometheus, Grafana, or Datadog. - Familiarity with secure coding practices and common application security risks. - Experience with orchestration systems, provisioning pipelines, cluster management, or schedulers. - Exposure to AI/GPU infrastructure or high-performance networking.

Description Location: Ra'anana #Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. Responsibilities: • Build, lead and mentor the DNOS-SAI SIT team; own the quality of DNOS-SAI releases on Broadcom Tomahawk (TH5/TH6) platforms. • Learn, investigate and write test plans for AI data-center use cases: leaf-spine and rail-optimized Clos fabrics, lossless Ethernet (PFC/ECN/DCQCN), ECMP, eBGP underlay, EVPN/VXLAN and multi-tenancy. • Simulate and validate the integration between routing, switching and QoS features in complex environments: BGP, EVPN/VXLAN, ECMP, QoS/PFC/ECN, LACP, BFD, LLDP, ACLs, telemetry, ZTP/upgrades, port breakout and 400G/800G/1.6T optics. • Run testing scripts and traffic scenarios in the lab (Spirent/Ixia, RDMA and collective traffic) and analyze counters, drops, latency and congestion at the switch and at the GPU NIC. • Validate GPU clusters and AI workloads end to end: RoCEv2/RDMA performance, NCCL/RCCL benchmarks and training/inference jobs under SLURM or Kubernetes. • Lead defect investigation with R&D (reproduce, isolate ASIC/SAI vs DNOS behavior, verify fixes, run regression) and be an integrated part of network design and bring-up for our AI customers. Requirements • 3+ years leading a QA/SIT team on top of 5+ years of hands-on system/integration testing of networking products. • Deep knowledge and experience in data-center routing and switching: BGP, EVPN/VXLAN, ECMP, VLANs, IP addressing, MTU and L2/L3 troubleshooting. • AI networking: hands-on experience with AI/HPC fabrics – RoCEv2/RDMA, lossless Ethernet (PFC/ECN/DCQCN), rail-optimized Clos designs, 400G/800G/1.6T optics. • GPU clusters and AI workloads: running and monitoring NCCL/RCCL, RDMA and MPI benchmarks and training/inference jobs on NVIDIA/AMD GPU servers (SLURM or Kubernetes). • Knowledge and experience with Linux systems. • Knowledge with services such as LLDP, LACP, BFD, SNMP, TACACS/RADIUS, QoS and gNMI telemetry. • Hands-on use of AI agents in daily engineering work (skills, rules files, MCP tools; e.g., Claude Code, Codex, Cursor). • Able to work in complex environment/tasks; self-learning and issue solving. • Good communication skills, worldwide customer facing, good English. Advantage: • CCNP, CCIE certificate or equivalent knowledge. • Experience with white-box switches and SAI/SONiC-based network operating systems on Broadcom Tomahawk ASICs. • Service-provider technologies such as IS-IS/OSPF, MPLS/Segment Routing, L3VPN, SR-TE and multicast (PIM, MVPN). • Testing tools such as Ixia or Spirent, and RDMA/collective tools (perftest, NCCL/RCCL tests, OSU benchmarks). • Automation scripts in Python, Bash or Java and CI pipelines; Kubernetes, containers and cloud deployments (AWS/Azure/GCP). • QA methodologies (HLD/LLD-based test plans) and tools such as Jira and TestRail.

Description On-site | Israel About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Responsibilities • Take a key role in the month-end, quarter-end, and year-end closing processes, ensuring compliance with US GAAP. • Implement and monitor internal controls, policies, and workflows across the company. • Oversee the Bookkeeper's responsibilities, verify accuracy, and reconcile accounts for period-end closing. • Oversee foreign subsidiaries' accounting, local requirements, salaries, and financial reports. • Manage and support day-to-day finance activities, including accounts payable, cash flow, banking transactions, payments, billing, and VAT returns. • Manage the payroll process in coordination with the external payroll bureau. • Work with the external auditor and prepare the annual financial statements and tax reports in compliance with official guidelines and requirements. • Undertake ad hoc accounting and finance-related projects as needed. Requirements Technical Skills • 2–4 years of experience in a similar position within the hi-tech industry. • Internship at one of the Big 4 accounting firms — a must. • Solid knowledge and hands-on experience with US GAAP. • Advanced knowledge of ERP systems, with NetSuite being an advantage. • Strong Microsoft Excel skills, including experience with inventory-related workflows. • Native-level proficiency in English — a must. Soft Skills • Strong analytical skills with high attention to detail. • Ability to work in a fast-paced environment, prioritize workload, and meet tight deadlines. • Accurate, detail-oriented, and highly professional in approach. Nice to Have / Advantage • Experience with NetSuite ERP. • Experience with inventory-related workflows. If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description #LI-Hybrid About Us DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. Location: Ra'anana / Tel Aviv The Role: We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms. If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems — we want to hear from you! Responsibilities: • Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure). • Manage and evolve virtualization platforms such as VMware and KVM (Proxmox). • Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices. • Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization. • Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI. • Automate infrastructure provisioning, configuration, monitoring, and operational workflows. • Build and maintain internal tools to improve developer experience and engineering productivity. • Ensure system reliability, performance, and cost optimization across cloud and on-prem environments. • Maintain high security standards, compliance, and operational best practices. • Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments. • Develop and maintain clear technical documentation. Requirements • 5+ years of experience in DevOps / IT Infrastructure / System Engineering roles in global hi-tech environments. • Strong hands-on experience with cloud platforms (AWS and Azure). • Proven experience with VMware / Nutanix / KVM environments. • Experience with Azure Entra ID (Azure AD), including SSO, MFA, Conditional Access, and identity lifecycle management. • Strong Linux administration skills. • Solid scripting abilities (PowerShell, Python, Bash, or similar). • Experience with automation and Infrastructure as Code tools (e.g., Terraform — advantage). • Familiarity with networking concepts: firewalls, VPNs, switches, WiFi, NAC, ZTNA (FortiGate — advantage). • Experience with enterprise MDM solutions (Microsoft Intune, MobileIron/IVANTI). • Hands-on experience with backup solutions such as Commvault Metallic, Veeam, or Commvault. • Ability to work in high-pressure, mission-critical environments. • Business-level English (written and spoken). Advantages: • Experience with Kubernetes, Docker, and containerized environments. • Knowledge of CI/CD pipelines and DevOps methodologies. • Relevant certifications (AWS/Azure Architect, RHCE, CCNA, MCSA). • Advanced networking knowledge (routing, switching, VPNs). • Experience with large-scale networking, telco, or cloud infrastructure environments. Soft Skills: • Strong service orientation and communication skills. • Independent problem solver with a proactive mindset. • Team player with excellent time management skills. More about DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/ ;

Description #Hybrid R&D – Raanana DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics The Role We are looking for a seasoned QA / E2E engineer who can hold the entire DriveNets Application Platform (DAP) in their head — from the UI and REST/gRPC APIs, through workflow-engine orchestration and microservices, down to configuration pushed onto real network elements — and prove with evidence that it works end to end. This is not a single-service testing role. You will own end-to-end validation across the DAP platform and matrix-lead the work: bringing development teams, system architects, product, and other stakeholders into a shared definition of success. You will increasingly do this by directing AI agents rather than only writing tests by hand. Responsibilities • Own end-to-end test strategy and execution across the DAP platform — translate features and epics into complete E2E test plans that trace each requirement/acceptance criterion to a concrete test. • Matrix-lead cross-team work: pull in developers from different teams, system architects, and product; align them on risk, coverage, and what "done" means. • Design and execute test plans for REST/gRPC APIs and workflow-engine functionality, including dynamic task addition, orchestration, and state transitions. • Validate configuration and provisioning flows end to end — from UI/CMS edits and config-template rendering through to the configuration applied on the target network element, confirming on-device before/after state. • Build automated suites for contract validation, regression, and critical-path coverage; design negative and failure-mode tests, not just happy paths. • Identify, reproduce, document, and track defects with self-contained, reproducible bug reports (exact flow, inputs, payloads, logs, on-device evidence) and drive them to verified closure. • Present plans, risks, and results clearly — in slides and live walkthroughs — so engineering and product can decide. • Direct AI agents (e.g. Cursor, Claude, agentic subagents) to author test plans, generate and execute tests, and triage failures — while owning correctness of the output. Requirements • 8+ years in QA, with a focus on cloud-native applications and distributed systems/microservices. • CCNP-level networking is a must, routing and switching depth beyond fundamentals (L2/L3, IP, ARP, MAC, VLAN, DHCP, ICMP) and enough protocol skill to validate real device configuration and tell on-box failures from platform failures. • CCNP certification or equivalent hands-on experience. • Strong understanding of REST and gRPC testing methodologies; proficiency with Python testing frameworks (pytest) and writing maintainable automated tests. • Working knowledge of containerization and orchestration (Docker, Kubernetes), in-depth Linux and experience with CI/CD pipelines. • Command of formal testing methodology and artifacts (STP / STD / STR), with hands-on experience in test-management tooling (e.g. TestRail) and issue tracking (e.g. Jira). • Presentation skills (PowerPoint or equivalent) — able to turn a test plan, a risk, or a failure into a clear slide story for mixed engineering and product audiences. • Ability to matrix-lead: influence without authority, bring peers from different teams to a shared picture, and keep the group driving toward the same outcome. • Nice to have: experience with workflow engines (Temporal, Airflow), infrastructure-as-code (Terraform, Helm), and a track record of building or heavily using AI/agentic automation in a QA context. Education And/or Relevant Experience BSc in Computer Science, Electrical Engineering, or a related technical field; or equivalent hands-on experience. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 16 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website: www.drivenets.com

Description #LI-Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics The Role We are establishing a new backend group that will take full ownership of a core application area. We are looking for a Senior Backend Developer who will lead the backend effort end-to-end — from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution. This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group. We embrace an agile mindset – you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements. Responsibilities • Take full ownership of the backend architecture for a major application area • Design and implement scalable, reliable, and maintainable backend systems • Lead technical design and decision-making, including technology and architecture choices • Work closely with product, frontend, platform, and other backend teams • Participate in product vision discussions, brainstorming, and planning sessions • Translate product requirements into robust technical solutions • Write high-quality, production-grade code • Drive debugging and root-cause analysis of complex production issues • Ensure best practices in performance, reliability, security, and observability • Mentor and technically guide other backend engineers as the group grows Requirements • 9+ years of backend development experience • 2+ years of hands-on NodeJs OR Python OR GO experience — or strong motivation to learn and use it in production- big advantage. • Experience with distributed, high-scale systems. • Proven experience designing and building high-scale, production systems • Deep understanding of backend architecture, distributed systems, and APIs • Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale • Experience working with databases (relational and/or NoSQL), including schema design and performance considerations • Solid knowledge of modern backend technologies and frameworks • Experience collaborating across teams in a large or multi-team environment • Strong communication skills and the ability to lead through influence Nice to Have • Familiarity with containerization tools (Docker/Kubernetes) • Exposure to caching systems (e.g., Redis) or event-driven architectures • Prior experience leading a technical area or subsystem • Experience with Cursor Education And/or Relevant Experience BSc in Computer Science, Software Engineering, or a related technical field; or equivalent hands-on experience in software development If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 16 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website:

Description Senior Product Manager - Switch Network Operating System #LI-Hybrid The Company DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. DriveNets is seeking a Senior Product Manager to be a key member of our product management team, leading the Switch Networking Operating System for our cutting-edge AI/HPC Ethernet switching solutions. Join a dynamic and forward-thinking company at the forefront of network transformation. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional network performance. Collaborate with the industry’s best as we partner with Hyperscalers, emerging NeoClouds , and enterprises building AI/HPC GPU fabrics, shaping the future of GPU Ethernet interconnect. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while working on groundbreaking projects. As a Senior Product Manager for the Switch Networking Software Stack, you will shape the roadmap, strategy, and features powering the networking of the GPU Ethernet interconnect. Your work will directly impact the efficiency and performance of diverse GPU clusters, enabling operation at scale with greater uptime, utilization, and reliability. Responsibilities • Act as a data center network system expert specializing in network design, configuration, and automation, providing strategic direction and expertise to enhance our network operating system capabilities for our customers. • Design and innovate network operating system features and solutions for our AI Networking Product, focusing on enhancing the functionality, resiliency, and utilization of GPU fabrics for Hyperscaler, NeoClouds, and enterprise customer networks. • Create, manage, and present product roadmaps and technology solutions, addressing the networking software stack requirements and ensuring alignment with market and customer needs. • Collaborate closely with development teams to drive requirements for the entire networking software stack, including data path, control plane, and management plane. • Demonstrate proof-of-concept solutions to customers, showcasing the value and capabilities of our offerings. • Work effectively with sales teams and other internal groups within DriveNets to support customer engagements and drive business success. Requirements What we need to see: • 10+ years of networking industry experience with a minimum of 5 years in a product management and/or solutions architect role with responsibility for writing technical product/specification requirements and collaborating with engineering to build a delivery plan with clear priority and business goals • Technical expertise in Data Center or high-end enterprise network design and features (e.g. BGP, EVPN, VXLAN, QoS, Multicast) • Excellent interpersonal communication skills (both verbal and written) • Experience in collaborating with sales teams to build a strategy and roadmap for customer deliveries. • Proven experience in end-to-end product management or in the operation of a large data center network. • Knowledge of orchestrating and/or automating other data center networking router/switch vendor solutions in customer networks is desirable. • Customer and operational background with in-depth knowledge of designing, building, and maintaining live data center production networks • Flexible and adaptable, able to handle a diverse set of daily activities and effectively adjust to shifting priorities in a fast-paced environment. • Ability to multitask efficiently in a multifaceted environment, ability to work with teams across geographical locations. • Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams. • Ability to write extensive technical content (white papers, technical briefs, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging • Travel as needed Ways to stand out from the crowd: • Familiarity with AI-relevant data center infrastructure and networking technologies such as: Infiniband, RoCEv2, lossless Ethernet technologies (PFC, ECN, etc), accelerated computing, GPU, NIC, DPU, etc. • Understanding of AI/HPC networking infrastructure solutions, their advantages and disadvantages (AI/HPC networking design, high-speed interconnect technologies) • Scale-up – NVLink, UALink, Scale-up Ethernet (SUE), etc • Scale-out – Ethernet and Enhanced Ethernet (Scheduled Ethernet, dynamic load balancing and adaptive routing, Spectrum-X, UEC, etc), InfiniBand • Understanding of data center operations fundamentals in networking, cooling, and power • Familiarity with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and Telemetry (gRPC, gNMI, OTLP, etc). • Proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP, or OCI) or emerging Neoclouds, as well as cloud-native architectures and software. • CCIE, JNCIE, or equivalent - advantage • Previous product management experience in building equivalent solutions for other data center networking router/switch vendor solutions • EDUCATION • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience. If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. More About DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/ ; If your experience is close but doesn’t fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.

Description Senior Signal Integrity Engineer #LI-Hybrid About Us: DriveNets is at the forefront of developing innovative solutions in high-speed electronics. Our cutting-edge technology serves the next generation of networking and communications, including Ethernet routers and high-performance platforms for the most demanding applications. We are committed to solving complex challenges and pushing the boundaries of what's possible in signal and power integrity. The Role: We are looking for an experienced Senior Signal Integrity Engineer to join our Hardware Engineering team. This role focuses on ensuring optimal signal integrity for high-speed interfaces, including Ethernet, PCIe, DDR5, and other next-generation technologies. As part of the team, you will be responsible for performing signal integrity analysis, developing signal integrity models, and ensuring electrical compliance for high-speed SERDES I/Os. Responsibilities: • Conduct signal integrity analysis and simulations for high-speed interfaces such as 112Gbps Ethernet, PCIe Gen5, and DDR5 interfaces. • Develop and implement signal integrity guidelines for PCB design, ensuring high-performance and low-loss signal paths. • Analyze and resolve signal integrity issues related to high-speed interfaces, including reflection, crosstalk, and power delivery network (PDN) issues. • Collaborate with PCB layout engineers to optimize design for signal integrity, ensuring compliance with electrical standards and high-speed design best practices. • Perform time-domain and frequency-domain analysis, including loss, jitter, and eye-diagram analysis. • Utilize EDA tools such as Ansys SIWAVE, HFSS, or similar for simulation and validation of signal integrity designs. • Work closely with cross-functional teams to integrate signal integrity considerations into the overall hardware design process. • Develop behavioural models based on measured signal integrity data to inform future design and simulation work. • Conduct pre- and post-layout simulations and measurements for high-speed signal interfaces. Requirements • Bachelor's or Master’s degree in Electrical/Electronics Engineering with 10+ years of relevant experience. • Strong understanding of electromagnetic (EM) concepts and transmission line theory. • Extensive experience in signal integrity analysis for high-speed serial interfaces, including Ethernet, PCIe, and DDR5. • Proficiency in using EDA tools like Ansys SIWAVE, HFSS, or similar. • Hands-on expertise in time-domain and frequency-domain analysis, jitter, loss, and eye-diagram analysis. • Strong background in HSPICE simulations and model development. • Experience with PCB layout techniques for high-speed designs. • Excellent communication skills and the ability to work effectively in a collaborative team environment. Advantages: • Experience with advanced simulation tools and techniques. • Experience with high-speed interfaces such as 112Gbps PAM4 Ethernet, PCIe Gen5, and DDR5. • In-depth knowledge of high-speed PCB design and layout principles. • Familiarity with power integrity and power noise simulations.

Description DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the role The Tactical Buyer is responsible for supporting the company's day-to-day procurement activities by ensuring the timely availability of materials and components required for production and business operations. The role focuses on purchase order management, supplier follow-up, delivery expediting, shortage resolution, and procurement of off-the-shelf components, while maintaining close coordination with Planning, Manufacturing, Logistics, and Supply Chain teams. Key Responsibilities Purchase Order Management • Generate and manage purchase orders based on business requirements. • Monitor open purchase orders from placement through delivery and receipt. • Ensure accurate and up-to-date information within the ERP system. • Obtain quotations and evaluate suppliers based on lead-time, availability, and cost. • Manage order changes, reschedules, and supplier confirmations. Delivery Expediting & Supply Assurance • Proactively follow up with suppliers to ensure on-time deliveries. • Expedite critical orders and resolve potential delays before they impact deliveries. • Escalate supply risks and work closely with suppliers to implement corrective actions. • Maintain visibility of critical shortages and recovery plans. Supplier Management • Maintain regular communication with suppliers and distributors. • Monitor supplier performance related to delivery reliability and responsiveness. • Support negotiations related to lead times and commercial terms. • Foster strong supplier relationships to improve service and flexibility. Cross-Functional Collaboration • Work closely with Planning, Material Management, Logistics, Warehouse, and Manufacturing teams. • Provide regular updates on material status, shortages, and supply risks. • Support production schedules by ensuring material availability. Requirements • Minimum 3 years of experience in Procurement, Tactical Buying. • Experience working in a hardware company is required. • Experience managing suppliers and purchase orders in a manufacturing environment. • Experience working with ERP systems. Preferred Experience • Experience in the optics and/or cabling industry is a significant advantage. • Experience working within a global supply chain environment. • Experience supporting high-mix, technology-driven manufacturing operations. Skills • Strong knowledge of procurement and supply chain processes. • Excellent follow-up and expediting skills. • Strong communication and supplier management abilities. • Fluent English, both written and spoken. Personal Competencies • Highly organized with strong attention to detail. • Strong sense of ownership and accountability. • Ability to manage multiple priorities in a fast-paced environment. • Proactive and results-oriented approach. • Strong problem-solving and analytical skills. • Ability to drive suppliers and internal stakeholders toward timely execution.. The ideal candidate is a hands-on Tactical Buyer with strong supplier management and expediting skills, capable of ensuring material availability and supporting uninterrupted production through proactive procurement execution.

Description Location: Ra'anana #Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. What You'll Do: • Design, create and execute comprehensive end-to-end testing scenarios for ACO based on detailed requirements and design documents. • Test ACO across its UI/UX, REST APIs, database-backed workflows and the real infrastructure it manages: switch provisioning and upgrades, inventory and topology, telemetry, alerts, configuration compliance, benchmarking and multi-tenancy. • Maintain and ensure functionality across the QA environments: AI fabric topologies (leaf-spine, DNOS and multi-vendor switches), GPU servers, NetBox/SLURM/Kubernetes integrations and the ACO deployments. • Validate network connectivity, configuration and performance across the AI cluster infrastructure: high-speed Ethernet (400/800G/1.6T), GPU nodes, leaf-spine topologies, VLAN/VXLAN, IP addressing, MTU, link status, routing and packet loss. • Verify BGP routing functionality (neighbor establishment, route advertisement, route propagation and convergence) and EVPN/VXLAN-based isolation on data-center fabrics. • Execute and analyze existing AI/HPC benchmarks (RDMA, NCCL/RCCL, MPI, RoCE, training/inference, storage) on GPU and CPU clusters through ACO's benchmarking engine; compare actual performance against established baselines. • Review and understand benchmarking methodologies and test procedures for high-performance networking and collective communication technologies. • Support telemetry collection and validate test data (gNMI/OpenConfig counters, syslog, GPU and NIC metrics) for accuracy, consistency and reliability against device state. • Use performance analysis tools, benchmarking frameworks and diagnostic utilities to execute tests, analyze results and troubleshoot issues. • Execute regression tests to verify that software updates, configuration changes and platform upgrades do not introduce new issues. • Collaborate closely with development teams to investigate failures, reproduce defects with clear evidence, verify fixes and ensure system quality. • Document test procedures, execution results, defects and performance metrics to maintain traceability and reproducibility; prepare clear QA reports highlighting deviations, failures and potential issues. • Use AI agents in your daily work to accelerate test design, execution, evidence collection and reporting, and help grow the team's test automation. Requirements What We're Looking For: • Minimum 3 years of application testing across UI/UX, database-backed data and multi-step workflows in web-based systems, including test design from detailed requirements (STP/STD/STR). • Networking knowledge at CCNP level or higher: L2/L3 switching and routing, BGP, VLAN/VXLAN/EVPN, MTU/MSS, ECMP, and troubleshooting with packet captures and device CLI. • AI networking: data-center fabrics for AI workloads – leaf-spine and rail-optimized Clos designs, RoCEv2/RDMA, lossless Ethernet (PFC/ECN/DCQCN), 400/800G/1.6T optics and link health. • GPU clusters: running, monitoring and optimizing AI workloads and benchmarks (NCCL/RCCL, RDMA, MPI, training and inference) on NVIDIA/AMD GPU servers, with schedulers such as SLURM or Kubernetes. • Strong hands-on experience in Linux environments (CLI, networking stack, services, logs, scripting). • Hands-on experience working with AI agents in daily engineering work: agent skills, rules/instruction (markdown) files, MCP servers and tools, and prompt-driven workflows (e.g., Claude Code, Codex, Cursor). • Agile Experience: hands-on experience in Agile work processes. Advantages: • QA automation experience (Python, pytest, Playwright/Selenium, REST API testing, CI pipelines). • Kubernetes and containers (kubectl, Helm, Lens/OpenLens, Argo CD; monitoring pod status, reading logs, troubleshooting). • Cloud deployments (AWS/Azure/GCP, e.g., EKS). • Databases: SQL querying and data validation (PostgreSQL). • Familiarity with network operating systems (DNOS, SONiC, Arista EOS, Junos), observability stacks (Prometheus/Mimir, Grafana/Perses, gNMI) and traffic generators (Spirent/Ixia). Soft Skills: • Excellent interpersonal and communication skills. • High-level proficiency in English (both written and verbal) and clear technical writing. • Self-starter who learns quickly and adapts easily to new technologies. • Ability to work under tight deadlines and manage multiple priorities. • A strong team player with a collaborative mindset. Why Join Us? • Be part of the team building DriveNets' AI Cluster Orchestrator, used to deploy and run some of the most demanding AI infrastructures. • Work hands-on with state-of-the-art AI infrastructure: 800G/1.6T Ethernet fabrics, NVIDIA and AMD GPU clusters, RoCE and collective communication. • Join an AI-native engineering culture where agents are part of the daily workflow. • Collaborate with brilliant minds in a dynamic and supportive work environment. If you're ready to take the next step in your career and work with a world-class team, apply now!

Description Location: Tel Aviv Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic runs on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. The Role We’re building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence. You’ll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: you’ll own key architectural decisions and write production code 100% of the time, side-by-side with the team. If you like shaping systems at the “whiteboard-to-production” level—and you want your decisions to run at scale in real AI datacenters—this is that kind of role. You will work on all aspects of a new platform for managing AI Datacenters, building full on prem AI-first applications. Requirements Key Qualifications • 5+ years (or equivalent) building modern web applications. • Strong proficiency in TypeScript/JavaScript and front-end development fundamentals (DOM, HTTP, performance, browser behavior). • Solid experience with a modern UI framework such as React, Vue, or Angular (React preferred). • Back-end experience with at least one ecosystem (e.g., Node.js, Java, Python, Go) and building REST and/or GraphQL APIs. • Working knowledge of databases (SQL and/or NoSQL), schema design, and query optimization. • Practical experience with CI/CD, Git workflows, and shipping to production. • Strong communication skills and a bias toward ownership and delivery. • Knowledge of design patterns, such as MVP/MVC/MVVM, singleton, factory, etc. Nice to Have • Experience with cloud platforms (AWS/GCP/Azure), containers, and Kubernetes. • Observability tooling experience (OpenTelemetry, Prometheus, Grafana, Datadog, etc.). • Security mindset: OWASP Top 10 awareness and secure coding practices. • Experience developing large-scale, user-facing web products. • Experience with modern fullstack web frameworks (next.js, modern.js)