Senior PCB Design Layout Engineer

We are excited to welcome a creative and independent Production Security Software Engineer for the IC test and product engineering group in NVIDIA Networking Business Unit. NVIDIA Networking Business Unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another and today we are known as the go-to place for “End-to-End High-Speed Ethernet and InfiniBand Solutions”. We're looking to grow our company and build our teams with smart people who can join us at the cutting-edge technology. We are seeking a security engineer who will thrive in our innovative environment, who will help make our Network Silicon ICs products (Switch, NIC, SmartNic) secure. You will collaborate with test engineers, test house, Design, IT, vendors and many other professionals in the organization for the development of tools and test infrastructure for enabling security features in test and in all of our processes. At NVIDIA, we foster a collaborative and inclusive culture where your ideas can make an immediate impact. If you are passionate about enabling of the highest quality Network products in the market, we want to hear from you! What you'll be doing: Lead all security aspects in the integrated circuit production engineering team, including Define with security architects how to introduce new features into the ICPE production line Work with test engineers to add security related features into the test program, work with HSM vendors to provision our production lines with required security appliances an work with the production lines team to ensure smooth integration into the lines. Own the regression system to ensure no security related issues in the line, Enforce security reviews in internal SW development and work with corporate tools to ensure securi

We are hiring a Senior AI Engineer to build and operate production AI systems and infrastructure. In this role, you will work on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks. This is a hands-on engineering role for someone who can move between backend systems, AI application development, deployment, and production support. You will help build reliable services and frameworks that make AI agents usable, measurable, and dependable in production. What you’ll be doing: Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks. Develop and maintain MCP servers and tool integrations used by internal AI systems. Build workflow infrastructure using Temporal or similar orchestration frameworks. Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops. Design backend services, APIs, persistence layers, and platform components for AI applications. Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure. Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling. Debug production issues across services, workflows, agents, tools, models, and infrastructure. Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems. What we need to see: 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution. Bachelors degree or equivalent experience. Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph. Strong software engineering background, especially in backend development. Experience with distributed systems, workflow orchestration, and prod

We seek a V&V Engineer with a strong background in validation to join the Interconnect validation team. This position will be part of the Product Engineering team that crafts and integrates software tests for NVIDIA networking products into the production lines. You will handle various projects across teams, complete new lab setups, review the HW design, build validation plans, implement automated tests, perform manual scenarios, and report bugs. Are you passionate about attention to detail and taking ownership of end-to-end validation for NVIDIA interconnect products? Join our team and bring your expertise to life! What you'll be doing: Collaborate with multi-functional teams across engineering, software development, and HW to identify test requirements Define and build setup topologies for appropriate product coverage Build a validation plan, complete, and integrate tests for the new interconnect products to address the business needs Debug SW & HW failures during the validation and take action to address it Report bugs found during validation, assist with reproduction, and debug to understand the root cause, and follow up to close it Deploy the product validation into the nightly automation tests and track during the daily meeting What we need to see: B.A./B.Sc. in Engineering Science or equivalent experience 5+ years of experience in validation and system engineering Hands-on experience with nightly runs and automated tests Strong problem-solving, quantitative, and debugging abilities Independent, responsible worker, able to plan and complete Excellent communication and presentation abilities Proficient in English, both written and spoken Experience in validation for both HW and SW applications Ways to stand out from the crowd: Background in HW vali

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. Participate in architecture discussions, API design, technical proposals, and code reviews. Build reliable, scalable infrastructure software for next-generation AI workloads. Write clear technical documentation and design proposals. What we need to see B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. Deep understanding of Kubernetes and the cloud-native ecosystem. Experience extending, building, or contributing to Kuberne

NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within NVIDIA’s Data Center and HPC environments. You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring NVIDIA products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology! What you’ll be doing: Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios Compose and build complex testbed topologies that emulate customer environments Implement, run and optimize integration test plans including functional, regression, and performance testing Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution Collaborate with automation teams Analyze and optimize network performance, latency, and efficiency Provide clear status updates, reports, and insights on system quality and performance What we need to see: B.Sc. in Computer Science, Electrical Engineering, or related field (or equivalent experience) 8&#43; years of experience in networking, system validation, or related engineering roles Strong hands-on experience with Linux-based systems Deep understanding of networking protocols (TCP/IP, UDP, Ethernet, VLANs, L2/L3) Experience with routing, switching, and modern data center network architectures<

NVIDIA has an outstanding opportunity for a Materials Planning Management to join our Procurement Management team in Yokneam, IL. This role offers an exceptional chance to be at the forefront of transforming our supply chain into a digitally optimized operation. You will drive cross-functional initiatives that improve execution and strengthen coordination across the materials supply chain What You Will Be Doing: Own the end-to-end supply chain and procurement readiness for the NPI phase, ensuring a smooth transition from NPI to full-scale Mass Production (MP). Ensure material readiness to support program achievements, including production ramp-up, and full-scale manufacturing. Proactively identify and resolve supply constraints, lead-time risks, and BOM gaps that could jeopardize a successful MP ramp. Lead cross-functional readiness reviews, driving alignment between Engineering, Operations, CM, and procurement stakeholders. Monitor and track Single-source parts, proactively identifying supply chain risks and escalating the need for dual/multi-manufacturer strategies to ensure supply continuity. Collaborate cross-functionally with Planning and Business Units to drive demand analysis across NPI and high-volume production portfolios Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply–demand alignment, and enable predictive, insight-based decision-making What We Need To See: B.Sc. in Industrial Engineering , related field or equivalent experience Minimum of 5&#43; overall years of experience in materials management, procurement, or supply chain management within a semiconductor OEM environment. Strong understanding of supply chain processes, NPI cycles, and material planning systems. Strong technical knowledge of semiconductor materials and contract manu