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join our team as a senior hpc software engineer. you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. our mission is to leverage ai's power to build outstanding and pioneering solutions that have a significant impact on the world.
what you'll be doing:
own the solutions you build, collaborating with cross-functional teams to successfully implement them.
collaborate with various teams in a fast-paced environment to ensure seamless project completion.
continuously improve solution provisioning and management through automation.
detect performance issues and recommend solutions to maintain world-class service quality.
conduct capacity management and planning to meet ongoing operational needs.
participate in incident reviews, assist in root cause identification, and write rca reports.
deliver sre solutions in a globally distributed, multi-cloud hybrid environment - aws, gcp, and on-prem.
participate in the team's on-call rotation.

we are looking for a senior networking TEST engineer with strong systemlevel debugging skills to join our endtoend verification team. you will work on cuttingedge ethernetbased ai clusters, owning complex issues across hardware, system software and ai workloads. widely considered to be one of the technology worlds most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you! 
what youll be doing:
design and review TEST and product requirements across the ethernet / nic / dpu / switch portfolio, focusing on largescale ai cluster behavior
build and maintain realistic customerlike testbeds, including heterogeneous hardware, os / driver combinations and complex network fabrics
own endtoend cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix
read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation
collaborate closely with development teams to debug nccl, roce/rdma and related networking components using logs, code inspection and targeted experiments
define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces
run regression, performance, functional and scale testing, analyze results and provide clear, datadriven reports to stakeholders
profile and benchmark deep learning training and inference workloads, correlating modellevel metrics with system and network telemetry to uncover bottlenecks

technically leading the features owns working with customers and r&d on architecture and design of the features.
clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.
simulations ranging from specific components to complete data center environments
develop sdks for novel hw capabilities
designing and implementing services, runtime systems, and applications over sdk
evaluate and optimize application performance
partner and collaborate with other forward-thinking team members and external researchers
work with intelligent networking machines powered by ai systems that can learn, reason and interact with other network components

the company networking advanced development software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. these are emerging technologies in networking and distributed computing for the booming ai factories and data centers. they span areas such as ai neural networks, deep learning, high performance computing (hpc), Storage, cloud, sw defined network, network function virtualization and more. we develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. the development traverses any needed component - application sw, middleware sw, os Kernel subsystems, device drivers, Embedded sw (firmware) and cuda gpu. we collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.
what youll be doing:
design and implement solutions throughout all layers from high level application, os and driver subsystem to firmware
work on impactful projects involving state-of-the-art high-performance computing hardware and software
provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
collaborate with our partners and customers

in this role, you will manage a team of ai/ ml engineers, lead the innovation and development the different solutions, and collaborate with cross-company teams. we are looking for an experienced, hard working manager who can collaborate effectively and has a deep technical capabilities in both ai/ml and software development.
what you'll be doing:
manage a team of 6-8 engineers
formalize the team work methodologies, collaboration, etc.
provide technical leadership, mentorship, and guidance to foster team growth.
supervise and build ai best in class solutions, including data ingestion, rag, mcps, agents, self service, and more.
be a part of an experienced team with a great atmosphere.
collaborate with cross-functional teams to identify and implement ai opportunities

collaborate with software, architecture, product, and DevOps teams to define TEST requirements, coordinate releases, and deliver high-quality products.
take end-to-end ownership of features: develop TEST plans, implement, and fully automate testing (primarily in Python ).
design, build, and maintain automated TEST scripts and frameworks.
validate software functionality and performance through system -level and integration testing in Linux -based and virtualized environments.
analyze TEST results, file bugs, track issues to closure, and ensure robust solutions.
drive continuous improvement in verification flows and contribute to process and methodology enhancements.
set up, maintain, and optimize TEST environments using Linux, docker, and virtual machines.
monitor nightly regression systems, analyze failures, and provide thorough root-cause analysis across hardware, os, and software layers.

lead performance research and evaluation of advanced networking technologies supporting ai workloads, including llm training and inference at supercomputing scale.
define end-to-end performance TEST plans and methodology for next-generation networking hw and networking technologies, including performance expectations and target kpis.
drive benchmarking, profiling, reporting, and deep performance characterization of networking workloads and offload features.
collaborate closely with simulation, architecture, chip-design, firmware, and software teams to assess performance tradeoffs and identify bottlenecks.
perform deep root cause analysis (rca) for performance gaps and stability issues, and drive cross-team mitigation plans.
develop and enhance performance analysis tools, automation frameworks, and scalable methodologies for cluster-level performance evaluation.
own performance observability efforts, including telemetry pipelines, dashboards, and job-level performance analytics.

looking for an outstanding Software manager to join our interconnect product engineering team. in this role, you will play a key role in crafting the future of networking manufacturing solutions for optical transceivers and next-generation networking solutions. as a leading engineering and TEST solutions group, we develop and deliver brand-new manufacturing TEST solutions, frameworks, tools, and infrastructure. we ensure the highest quality for every nvidia networking system delivered to our customers. we believe that collaboration is essential to innovation. by partnering closely with engineers, hardware and software architects, r&d teams, and external partners, including manufacturing lines, we will drive excellence in software development methodologies. your leadership will not only improve software quality within the group but will also improve the technical skills of the team. at nvidia, we have assembled a team of outstanding individuals dedicated to pushing technological boundaries and defining the platforms of the future. join us in promoting innovation at the forefront of networking solutions!
what you'll be doing:
guide, mentor, and expand your engineering team, ensuring effective planning and execution of projects while maintaining high standards of quality and performance.
coordinate efforts alongside product and program management, engineering and production line teams, and hr to achieve business objectives, improve user experiences, and develop user-friendly production TEST content.
coordinate the complete product lifecycle, including composing, development, build, and improvement of networking systems TEST software.
define product features and roadmaps, understand Product Strategy and market positioning, and drive products to successful completion and deployment.
review architectural builds (electrical, mechanical, process, software) of tested units to identify potential build issues and ensure robust and efficient production, resulting in high-quality products for customers.
identify and mitigate risks, resolve issues affecting project scope, schedule, and quality, and continuously improve processes and procedures within the team to streamline operations.

you will play a key role in ensuring the reliability, stability, and release readiness of doca bluefield images powering data centers worldwide. this is a high-impact and hands-on role requiring deep Linux expertise, strong debugging and coding skills, automation leadership, and full ownership mindset across complex system stacks.
what you'll be doing:
own the bfb validation architecture and strategy - define coverage, qualification criteria, and release gates for full doca bundle deliveries.
design, develop and automate system -level tests of installation, upgrade/downgrade, recovery, and multi-version compatibility across bluefield platforms.
validate Full-Stack integration of firmware, boot flows, os services, drivers, networking stack, and doca runtime integration.
drive deep cross-layer debugging across firmware, Kernel, networking, and user-space to identify root cause and influence long-term fixes.
act as technical focal point for release readiness, providing risk assessment, regression health analysis, and clear execution signals.
continuously elevate validation methodology, improving scalability, coverage, execution efficiency, and failure triage workflows.

we are looking for a senior software engineer to join our team developing software solutions to control nvidia hw in Python on Linux for various internal engineering groups, including chip designers, algorithm engineers, phy characterization engineers, optics engineers, and other r&d teams. our work includes building and maintaining a framework, as well as developing gui tools that support complex engineering workflows. this role combines advanced software engineering with a hardware-oriented perspective - the ideal candidate should have both the interest and background in areas such as hardware, Linux systems, and low-level drivers.
collaborate with the development team to improve existing framework and tools, suggest creative solutions, and develop new projects.
in our group, software engineers are responsible for the full lifecycle of solutions - from defining requirements and designing architectures to implementation, integration, and delivery. this approach allows every team member to grow professionally, develop a broad skills, and unlock their full potential.
what youll be doing:
design, develop, and maintain Python -based software solutions (framework, internal tools, gui applications with pyqt).
collaborate with internal customers - including chip designers, algorithm engineers, optics engineers, phy characterization engineers, and other r&d teams - to understand requirements and translate them into robust solutions.
take full ownership of projects: define the solution, design the architecture, implement, integrate, and support production-ready tools.
extend existing framework and tools, while also designing and implementing new ones from scratch.
work within Linux environments, integrating software with hardware interfaces, drivers, and engineering workflows.
apply oop principles and design patterns to build scalable, maintainable software architectures.

looking for a Hardware Engineer for our system product engineering group. the candidate will take full responsibility for networking systems product support engineering matters. the position requires an understanding of hardware, firmware/software, mechanical integration, and manufacturing. the candidate will supervise product engineering activities in a various cm (contract manufacturing) lines, working closely with groups across the networking organization: hardware/software/firmware r&d, architecture, TEST engineering, quality & reliability, and operations groups. the candidate will take part in direct communications with nvidia internal and external teams. the position provides an opportunity to gain deep knowledge of nvidia networking systems and a system -level view of our solutions, along with working in a dynamic and positive environment.
what you'll be doing:
leading cross-organizational task forces: you will be responsible for managing and leading cross-functional teams to address quality events and failure modes in nvidia's networking products. this involves coordinating efforts from various departments, such as hardware, software, and manufacturing, to collectively work toward identifying and resolving issues
root cause analysis and TEST planning: you will perform in-depth root cause analysis by meticulously analyzing failure modes monitor and control the TEST yield for all stations
onsite engineering support: you will be the technical owner for all TEST issues, TEST infrastructures, and TEST setup and will have to deliver fast and professional responses for all issues
the workplace is located at the Flex factory in migdal haemek, israel

as a senior team member, you will be part of a development effort of high-performing software automation systems fordata  center environments. you will interact with nic, os, switch, hca, cpu and gpu compute as well as architects, network engineers, and developers. we drive the data growth of the worlds biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what youll be doing:
design and develop an automation platform used to provision, configure, and monitor hpc data centers.
implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
participate in code reviews, technical design discussions, and continuous improvement activities within the team.

in this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale gpu- and cpu-based clusters used in ai and high-performance computing environments. you will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. this is a fast-paced r&d environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
what youll be doing:
profile, benchmark, and analyze ai and hpc workloads on gpu and cpu clusters
explore performance characteristics of high-performance networking and collective communications (e.g., nccl, rdma, mpi, roce)
identify performance bottlenecks across networking, compute, memory, and system architecture
develop and enhance performance analysis, benchmarking, and diagnostic tools
define performance TEST plans and establish expectations for new technologies and platforms
collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
support telemetry collection and data refinement efforts to enable accurate performance analysis
maintain high standards for  data quality, reproducibility, and traceability of performance results

as a sonic design team lead at nvidia, you will have to work closely with nvidias development and architecture teams responsible for sonic network os and gain a deep understanding of nvidia products and technologies.
what you'll be doing:
be part of nvidia sonic r&d team, contribute code to sonic worldwide community.
work in a continuous deployment environment of fast development/deployment cycles.
work with experienced teams which are well known in the sonic community.
participate in an international team of software engineers working on products for testing nvidia products.
manage, mentor, and guide a team of sonic eth switch nos.
design and implement sonic feature under Linux environment upstream to sonic open source project.
promote a culture of innovation, quality, and accountability. bring sonic nos to shine in customer's view.

come join the team and see how you can make a lasting impact on the world.
what you'll be doing:
leading and managing a dynamic team of engineers, ensuring smooth and efficient project execution.
developing and implementing ethernet sdk with a focus on high-performance and reliability.
collaborating with teams from other subject areas to identify technical requirements and successfully implement innovative solutions.
following established guidelines and standards to ensure the delivery of high-quality products.
continuously striving for excellence, improving team performance, and driving innovation.