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develop first tier features, with groundbreaking multi-protocol networking technology.
lead features from planning through design and development, until delivery to the customer.
work closely with other development teams, arch and verification to ensure features delivery on time with high quality.
gain deep understanding of nvidia products and technologies.

gain our customers trust and understand their needs.
support new supercomputers and ai fabrics technologies.
solve complex issues while leading highly visible customer issues.
work closely with various r&d teams and develop features for our customers.
provide constructive feedback to engineering and marketing regarding products requirements.

responsibility to coordinate between all project collaborators such as chip design team, q&r team, arch, icpe, from initial fuse definition stage till product end of life, including release to mass production
responsibility for all fuse ccb activities
collaborate closely with domain owners and stakeholders across various teams to gather and validate inputs required for product configuration, ensuring alignment with overall project and product strategies.
manage and coordinate configuration files and parameters for multiple products, maintaining accuracy and consistency throughout the product lifecycle.
contribute hands-on to product execution activities by actively working on configuration management, including updates, troubleshooting, and validation of configuration settings
support the integration of product configurations into the overall product development and manufacturing processes, ensuring smooth deployment and operational readiness across multiple product lines

you will be developing physical design, sta, logic eq, power integrity flows and methodologies for implementation of networking chips and socs.
work closely with block owners, full chip sta engineers to assure high quality and timely convergence.
come up with unique and creative solutions to the state of the art physical design problems that are needed for our chips.
additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, ir-drop, em and back-end verification across multiple projects.

Nuvoton Technology Israel, located in Herzliya, is looking for an Experienced Embedded Linux Kernel Developer to join its BMC Software development team. Nuvoton is a worldwide leader of BMC (Baseboard Management Controller) SOCs, used in Enterprise and Data Centers Servers. Our customers are Tier-1 Enterprise Server vendors and CSPs (Cloud Service Providers). As a Nuvoton employee, you will be a part a global team that develops embedded software solutions for application processors, security processors, TrustZone/OPTEE and embedded I/O processors. Responsibilities: - Design, develop, enhance, and maintain Linux BSP for Nuvoton’s BMC SOC - Collaborate with software, hardware, validation, and architecture teams - Collaborate with community and customers on open-source projects - Participate in Pre (on emulation system) and Post silicon activities. - Participate in customers engagement, including design and code reviews, new features development, issues debug and resolution

we are seeking an experienced QA Engineer to join our sw/fw testing team. this position will be part of our growing team, which enables nvidia products to meet the industry-leading benchmarks of efficiency and quality. we develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged. as a QA Engineer in this group, you will be immersed in the latest advancements and actively contribute to developing world-class products. your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. we are looking for an ideal candidate with proven QA experience who will be actively involved in testing industry-leading features in the networking sector, can acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems. the ideal candidate should bring a robust understanding for sw release cycle and the QA part in it.
what you'll be doing:
review arch design and requirements documents for new features introduced in several domains like infiniband and ethernet switches and nics, nvidia gpus, nvlink, linkx and more
design, develop, and perform tests for the new features, as part of fw ga or update releases
automate newly added tests in the existing automation framework, and add new capabilities and features to the framework
report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by r&d team, and raise if not fixed
conduct tests in various areas, including regression, performance, functional, and security. keep track of testing progress and generate summary reports of testing activities
fully collaborate with different external teams like:: Product Marketing, r&d, and verification.
define and build setups topologies for appropriate product coverage
nvidia is committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

develop TEST automation for nvidia networking products, which requires an understanding of hw and sw to provide stable, efficient and robust production tests, to enable high availability, while ensuring the quality of the products being shipped to customers
utilize TEST suites to find, debug and resolve problems with production process
work in multi discipline environment to provide robust solutions and drive defects to resolution
generate statistics about code quality, complexity, and coverage

we are looking for a talented experienced firmware engineer to join our network adapter firmware team. the firmware team develops cutting edge networking features for cloud, hpc and Storage. 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.
 
what you will be doing:
work closely with the architecture and different software design teams.
implement new features in the core of nvidia nic firmware.
implement verifiers for advanced features in our advanced random firmware testing environment.
gain a deep understanding of system debug, networking technology and stacks, as well as the hw/fw/sw relationship.
you will learn how a big software project is operated, maintained, qualified and released, and how hardware and firmware are developed.

our networking product engineering team is looking for a TEST development engineer. the position combines an understanding of hw and sw to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers.
what youll be doing:
design and develop automated tests for networking switches while working closely with the hw, asic, and sw engineering teams to achieve a reliable TEST with high coverage
exposed to various aspects of design, dft, and TEST of nvidia's next-generation network products
take a significant part in the definition and development of tests from the development level to the final TEST of network-systems
working with overseas manufacturing teams to increase yields, TEST coverage, and capacity, and reduce production costs

capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during uat, manage development team activities, develop hypercare support model
define and architect ai agents for supply chain use cases, using the right frameworks, multi-agent coordination, rag, deployment, monitoring, and life cycle management.
be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade agentic supply chain solutions
partner with enterprise it engineering, product, and research teams while evaluating llms, agentic frameworks, and nvidias own nemo technologies.
ensure integration with enterprise it and operations data sources and industrys best agentic platforms with strong content security focus.
drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.
champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable ai agents.
influence supply chain operations adoption of the platform by partnering with stakeholders across it, supply chain and serve as a reference adopter providing feedback to strengthen nvidias ecosystem.

new equipment definition, installation, acceptance, and maintenance (multi-disciplinary -electrical, siph, mechanical, and software).
improve existing equipment up time.
collaborating with equipment vendors & with nvidia engineering and operation teams.
define and implement maintenance and monitoring processes.

we are looking for a hardworking and engaged senior QA SW engineer with experience in networking to join the system ethernet QA team! our QA team is responsible to TEST and qualify the nvidia ethernet switches solutions. we learn new features, design, execute, write automation based on Python!  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 you'll be doing:
review the arch design and requirements for new features introduced in the product.
design, develop, and execute tests for the new features, as part of sw ga releases and update releases.
report bugs found during execution, assist with reproduction and debugs in order to understand root cause verify bug fixes provided by the r&d team, raise if not fixed.
execute system tests in different scopes: regression, performance, functional, security for ethernet protocols.
write automation tests and framework apis based on the Python language.

we are looking for an experienced deep learning algorithm researcher with a strong focus on reinforcement learning to join the CTO group.
our CTO group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced hd maps, and advanced driver-assistance technologies. the role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging reinforcement learning to address complex, interactive driving scenarios. you will work on policy decision making that provides a holistic, system -level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles. this is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction. what will your job look like:
develop and optimize reinforcement learning-based planning algorithms, including network architectures, reward design, and training processes.
apply rl to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
prototype algorithms in Python and migrate performance-critical components to efficient C ++ / gpu-accelerated implementations.
take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

we are looking for a safety architect to our the safety team, developing novel approaches to assess and promote autonomous vehicle (av) safety.
safety is a core decision driver at the highest level of our development and business strategy, directly impacting project timelines and approval for our most advanced programs.
demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. it requires a deep understanding of the entire av system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach. what will your job look like?
analyze the sw architecture and identify safety-critical areas, define the safety requirements and work closely with r&d teams to reach the best solutions
support the sw system architecture definition of the automated driving system
define the safety requirements for high-level components of the autonomous vehicle products including driving applications, image processing, memory management, error handling
act as a poc for r&d teams in terms of safety and embed the safety culture, train and guide safety ambassadors within the teams
proactively support our position with customers during business development activities and during the execution of production projects

our CTO group is looking for an outstanding physical-ai applied researcher to join our team.
the CTO group is a small, elite research unit shaping the next generation of algorithmic foundations behind our autonomous driving systems. the group operates at the core of the decision-making and planning stack, addressing some of the most challenging problems in real-world autonomy. we are seeking a researcher who thrives at the intersection of Machine Learning, decision-making, and algorithmic rigor - someone who is excited about advancing learning-based approaches for safety-critical, large-scale physical systems. in this role, you will develop novel approaches for planning and decision-making in interactive, multi-agent driving environments. you will combine deep & reinforcement learning with classical algorithmic structure and formal reasoning. the problems are open-ended, scientifically challenging, and deployed at unprecedented scale. this is a rare opportunity to conduct high-impact applied research, taking ideas from theory and papers into real-world autonomous systems at scale. if youre excited about pushing the boundaries of learning-based decision-making, wed love you to join us and help shape the future of physical ai at our company. what will your job look like:
design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
lead research directions from conception to full-scale production.
develop using Python (pytorch or similar frameworks) as well as C ++/gpu/cuda.