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looking for an experienced program manager to join its team. the program manager will oversee the planning, execution, and end-to-end tracking of hw activities across various professional functions and organizations. this role will drive planning processes and drive execution of the programs, and will work with executives, managers and engineers within the organization and with all the interfacing organizations, while aligning with corporates roadmap, priorities and targets.
what you'll be doing:
build, manage, and implement comprehensive long-term programs, including setting timelines, allocating resources, and setting up progress milestones.
work with project managers and engineers to ensure consistency with company strategy, commitments, and goals.
facilitate teamwork and cooperation among team leaders to ensure accountability on their tasks and deadlines.
capable of foreseeing and handling risks associated with constant change through proper prioritization. come up with innovative solutions to difficult problems, and co-develop solutions and mitigation strategies.

we are now looking for an engineering lab technician in the optical assembly team to support developing new nvidia's products. this newest member will collaborate with an innovative multidisciplinary world-class team of engineers to help build and develop our industry leading transceivers. in this role you will run multiple sophisticated assembly platforms, so there will be plenty of opportunity for learning new skills related to the field of advanced packaging. the primary responsibility is to support our engineering teams during development to ensure outstanding quality gpu server products may be released to the market and delight our customers so that ai scientists and datacenter operators can achieve their professional aspirations using nvidia technology. the new lab team member will work independently to complete daily tasks according to priorities, demonstrate a passion towards system level product quality, and should be comfortable in the lab environment.
what youll be doing:
participating in development of new packaging technologies while working tightly with process development team.
prepare and conduct experiments to TEST new assembly technologies and materials.
operation and maintenance of variety of platforms involved in process of packaging - wire bonding/pick&place/active alignment.
maintain laboratory hardware and handle materials.

seeking a highly motivated and hardworking software engineer with hands-on capability technical experience, to verify the design and implementation of the next generation data processing unit software, with wide range of features related to Cyber security and Embedded systems. this position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. at nvidia, we're united in our quest to transform the way smart adapters are used.
what you'll be doing:
collaboration & communication: work closely with software, architecture, product and DevOps teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST plan development to final implementation and full automation
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
defect analysis: analyze TEST results, open bugs and track issues to closure, ensuring robust and scalable solutions.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
regression monitoring: operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, os, and software layers.

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

in this role, you will take full ownership of a product from its definition phase, working closely with design and architecture teams. you will define and execute pre-silicon validation plans using advanced emulation platforms such as palladium and vtpsim. post-silicon, you will be responsible for planning and managing bring-up, validation and product stabilization, leading the product towards bring up and up to p-rel stage.
what youll be doing:
own the product lifecycle from definition to pre-launch.
collaborate with architecture, design and verification teams to define product validation strategies.
execute pre-silicon tests using emulation tools (palladium, vtpsim).
define post-silicon validation plans and lead execution.
write TEST program code including new infrastructures and methodologies.
drive product bring-up and stabilization toward prel and production readiness.
develop automated infrastructure to support program execution.
coordinate cross-functional activities with dft, production, and software teams.

in this role, you will lead the end-to-end capacity planning process across foundries and contract manufacturers sites. this position uniquely stands out by blending traditional supply chain management with advanced ai, asking you to champion the use of generative ai, advanced optimization, and digital twins to improve resilience and capital efficiency. join us to build and scale simulation-driven decision-making and lead a high-performing capacity planning team.
what youll be doing:
develop and maintain advanced capacity models and algorithms to identify gaps, risks, and investment needs across multiple product lines and regions.
manage, coach, and develop a team of approximately six industrial engineers and capacity planners, setting key objectives that align with planning, supply chain, and manufacturing engineering goals.
partner with data science and engineering teams to integrate ai/ml techniques into capacity models and to automate scenario generation.
collaborate closely with manufacturing engineering, supply chain, finance, TEST engineering, industrial engineering, and it to ensure capacity plans are actionable and aligned to business priorities.
define and implement standard methodologies, workflows, and metrics-such as utilization targets and forecast accuracy-while partnering with it to integrate planning models with enterprise systems like ERP, mes, and anaplan.

looking for an excellent npi engineer. join us on your quest for an outstanding career with an extraordinary team!
what you'll be doing:
be an integrated part of the product design
establish npi production lines at cms sites
enforce quality standards and monitor yields
lead internal and externals cross-functional teams to meet engineering aspects
develop and implement manufacturing processes for new products to meet projects requirements
drive cms to excellence in aspects of manufacturing process, quality management and hvm mindset

we have assembled a team of extraordinary individuals whose mission is to push technological boundaries and define the platforms of the future. join us in driving innovation at the forefront of networking solutions.
what youll be doing:
team leadership and development: guide, mentor, and expand your engineering team, ensuring effective planning and execution of projects while maintaining high standards of quality and performance
cross-functional collaboration: work closely with product and program management, engineering and production line teams, and hr to achieve business objectives, enhance user experiences, and develop user-friendly production TEST content
product lifecycle management: oversee the complete product lifecycle, including design, development, build, and enhancement of networking systems TEST software
strategic planning and execution: define product features and roadmaps, understand Product Strategy and market positioning, and drive products to successful completion and deployment
Quality Assurance and testing: review architectural designs (electrical, mechanical, process, software) of tested units to identify potential design issues and ensure robust and efficient production, resulting in high-quality products for customers
risk management and issue resolution: identify and mitigate risks, resolve issues affecting project scope, schedule, and quality, and continuously improve processes and procedures within the team to streamline operations
this role demands a combination of strong leadership skills, technical expertise in software and hardware systems, and the ability to collaborate effectively across various departments to drive the development and delivery of cutting-edge products

we have some of the most forward-thinking and hardworking people in the world. are you a creative and self-derived engineer who is up for the challenge?
what you will be doing:
work with design and manufacturing engineering teams to develop the most robust TEST solution for mass production
full responsibility for electrical specification, schematic design, components selection and layout considerations for our testing platforms
developing TEST plans and coverage for future / current products
work with process groups to improve or resolve TEST /yield/quality issues after release
hw lab debug

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.

we are looking for best-in-class senior full-chip Verification engineer to join our networking silicon team. in this role, you will be responsible for the development and verification of our next-generation nics at the system level. you will contribute to the architecture of high-speed communication devices by driving full-chip verification execution for the networking solutions powering the worlds most advanced data centers, enjoy working in a meaningful, growing environment where you make a huge impact in a technology-focused company.
what youll be doing:
full-chip verification & execution: own complex system -level features by defining verification plans and driving the end-to-end execution.
system -level debug & analysis: gain a strong understanding of chip micro-architecture and features, investigate, debug, and resolve cross-block issues to guarantee feature correctness and compliance
cross-team collaboration: work closely with multiple teams within organizations such as architecture, u-arch, firmware and all units inside the nic
ai-enhanced development: accelerate development by leveraging cutting-edge ai coding tools and frameworks.