Jobs in Yokneam

NVIDIA is looking for an outstanding Manager, Infrastructure Engineering - Networking to lead a high-impact infrastructure engineering team. The team develops and maintains engineering infrastructure solutions that enable R&D teams to provision, validate, test, debug, and recover complex server and networking environments at scale. In this role, you will lead a team that provides infrastructure platforms and hands-on engineering support for internal customers across firmware, driver, hardware, software, and verification organizations. The position combines deep technical leadership with people management, execution ownership, customer support, and operational excellence in a fast-paced R&D environment. We are looking for a strong technical manager who can grow and mentor engineers, set technical direction, drive recovery of complex systems, optimize customer flows, and deliver reliable infrastructure capabilities at NVIDIA scale. What you’ll be doing: • Lead and grow an infrastructure engineering team responsible for bare-metal provisioning, VM infrastructure, server fleet automation, CI/CD infrastructure, customer-facing debug support, and high-performance networking environments. • Own the team’s technical roadmap, priorities, execution plans, and delivery commitments across multiple infrastructure initiatives, while balancing long-term platform improvements with day-to-day customer needs. • Drive ownership of VM box inventory and lifecycle management across many Linux distributions, including image readiness, OS compatibility, package baselines, kernel configurations, provisioning flows, and production availability. • Build infrastructure capabilities that enable engineering and verification teams to run provisioning, testing, validation, and debug workflows efficiently and reliably, without positioning the team as the owner of verification itself. • Lead customer support, debug, and optimization of internal customer flows, including triage, root-cause analysis, bottleneck removal, workflow improvements, and clear communication with engineering stakeholders. • Guide complex system debug and recovery in a firmware R&D environment, including server bring-up issues, driver and firmware interactions, boot failures, networking problems, lab instability, automation failures, and environment recovery. • Provide technical leadership for Linux-based automation platforms, including server lifecycle management, OS installation, kernel configuration, driver setup, inventory management, resource allocation, observability, and production readiness. • Partner closely with firmware, driver, hardware, software, cloud, and verification teams to define requirements, improve reliability, and deliver infrastructure solutions that accelerate engineering productivity. What we need to see: • B.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. • 8+ overall years of experience in Linux systems administration, infrastructure automation, DevOps, system software, firmware infrastructure, lab infrastructure, or related engineering domains. • 3+ years of experience leading or managing engineering teams, technical projects, or cross-functional infrastructure initiatives. • Strong technical background in Linux environments, including systemd, package management, kernel parameters, GRUB, sysctl tuning, NFS, networking, boot flows, and service management. • Hands-on experience designing, implementing, and debugging automation software using Python, scripting, CI/CD workflows, and modern software development practices. • Experience managing infrastructure across multiple Linux distributions, including OS image management, compatibility issues, provisioning flows, package dependencies, and environment consistency. • Proven ability to support internal customers in complex technical environments, including issue triage, root-cause analysis, flow optimization, incident handling, and communication with cross-functional R&D teams. • Strong people leadership skills, including coaching, mentoring, performance management, hiring, feedback, prioritization, and building an inclusive, high-performing team. Ways to stand out from the crowd: • Experience managing teams that build infrastructure platforms for firmware R&D, hardware bring-up, driver development, lab automation, cloud provisioning, or large-scale engineering environments. • Deep knowledge of high-speed networking technologies such as RDMA, InfiniBand, Ethernet, OFED, SR-IOV, PCI passthrough, VFIO/IOMMU, or related Linux networking tools. • Experience with Ansible, infrastructure-as-code practices, Jenkins, Kubernetes, Docker, KVM, QEMU, libvirt, Vagrant, or multi-architecture environments such as x86_64, aarch64, and ppc64le. • Familiarity with NVIDIA/Mellanox hardware, including ConnectX NICs, BlueField DPUs, firmware tools, hardware diagnostics, RSHIM, MFT, BIOS/BMC automation, or server recovery workflows. • Experience with complex system recovery and fleet operations, including Redfish, iDRAC, iLO, IPMI, BIOS automation, BMC configuration, remote power control, automated remediation, and production incident reduction. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and our engineering teams are growing rapidly. If you are a technical leader with a passion for infrastructure, automation, Linux systems, networking, customer enablement, and building strong engineering teams, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate, including in our hiring and promotion practices, on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.Are you an outstanding Senior embedded SW engineer? We at NVIDIA are looking for you! Joining our team, you will have the opportunity to excel and develop brand new switch products for one of the world's leading companies! NVIDIA is seeking an experienced Software Engineer to join the Networking Switch SW group, developing the switch Operating System (NVOS). Key role in developing the NVOS is critical for NVIDIA's next-gen networking tech for HPC data centers. Are you passionate about working on innovative technologies? Then we want to hear from you! What you'll be doing: • Owning and leading the NVOS including development, testing flow and product life cycle. • As a Senior Software Engineer at NVIDIA, you will use your expertise in C++ and Python to develop NVOS features and support new products. • Lead NVOS integrations with FW, hardware, and production teams. • Support internal and external customers for any NVOS related items. What we need to see: • B.Sc. in Computer Science, Software Engineering, or Electrical Engineering. • 5+ years of experience writing in C++ and Python. • Proven experience in networking. • Proven experience with AI tools for development or developing agents. • Proficiency working in a Linux environment. • Proactive, open-minded, and a quick learner. • Well-organized, agile, and capable of leading your own tasks. • Collaborative personality with a love for teamwork. Ways to stand out from the crowd: • Proven experience with kernel. • Experience with SONiC. • Background in switch and/or networking environment – advantage. • Experience working with customers – advantage. • Acted as a tech lead or a scrum master – advantage.

NVIDIA is looking for a project manager for product engineering organization, responsible for post NPI projects on various Network products. The PM will drive execution and scheduling of PE projects while aligning with corporate priorities and constraints. NVIDIA is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer best-in-class solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration. What You'll Be Doing: • Lead the engineering change process end-to-end, from change request initiation through full implementation in production. • Coordinate cross-functional activities among Engineering, Manufacturing, Quality, Procurement, Logistics, and additional stakeholders. • Responsible for procurement processes supporting the implementation of engineering changes in the production line. • Work with project managers and engineers to ensure consistency with company strategy, commitments, and goals. What We Need To See: • B.Sc. in Industrial Engineering • At least 5 years of experience in project management • Excellent project management skills – familiar with project management methodologies in production • Ability to lead cross functional teams and initiatives • Good written and verbal communication skills in English • Personal skills: Team player, independent, responsible, capable of multi-tasking, ability to drive people and tasks, leadership qualities, excellent communication skills Ways To Stand Out From The Crowd: • Having experience in SW processes and backlog management experience • Experience in production facing roles. 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • Perform advanced AI Static Timing Analysis (STA) for complex chiplet and full chip level. • AI use for timing optimization and data analysis in STA and PnR. • Running and build STA tools for anlyaze and debug timing. • Use traditional STA tools like Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation. • Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages. • Responsible for a full timing closer and quality approval from pre-layout STA model through signoff. What we need to see: • B.SC./ M.SC. in Electrical Engineering. • At least 5+ years of hands-on STA experience. • Experience in Prime Time and signoff methodologies. • A great teammate who thrives in a collaborative environment. • AI tools orientation or alternatively a desire to learn. Ways to stand out from the crowd: • Agentic Frameworks. • AI prompting experience. • Experience in Linux environments. • TCL, Python, shell scripting abilities. • Experience with data collection and analysis. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

NVIDIA Networking unit has continuously reinvented itself over two decades. Our high-speed products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, we are increasingly known as the place for getting “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 forefront of technological advancement. NVIDIA IC Packaging design team is looking for a Senior IC Packaging Design Engineer to join our package team. and focus on delivering and designing state of the art high-speed Interconnect systems for Supercomputers and Datacenters. This position will collaborate with Technical Package Lead and cooperation with different design teams and development of complex, detailed layout of IC substrates for NVIDIA products. What you'll be doing: • As part of a IC Packaging design team, you will collaborate to implement high speed and PDN design for ASIC packages. • Develop symbols, pad stack and perform substrate package routing, placement, stack-up, reference plane, power distribution using Cadence APD (Allegro) or SiP tools. • Optimize package pin out incorporating system level trade-offs of pins assignment. • Develop methodologies to improve layout environment, productivity, reliability, and schedule considerations. • In close co-operation with the SI/PI/HW design teams and product teams • Planning, ensuring stakeholder management and leading projects from start to finish What we need to see: • B.Sc. Electrical Engineering or an Electrical Practical Engineer certificate or equivalent experience • 5+ years hands-on in Package/PCB Layout and outing experience; including high speed design signal integrity practices. • Experience in substrate layout of wire bond and flip chip packages, preferred • Knowledge in substrates or board manufacturing process • Significant background with Cadence Virtuoso and APD (Allegro) or SiP and/or other PCB layout tools Ways to stand out in the crowd: • Knowledge in Ansys (SIwave, HFSS) or Cadence (Sigrity, PowerSI) simulation tools • Familiarity with Skill language (Cadence) and basic parsing abilities (Python/Perl/Shell-scripting) NVIDIA have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: • Developing a highly optimized inference framework • Running on the world’s largest supercomputers and data centers. • The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: • B.Sc. or equivalent experience in Computer Science or Software Engineering • 5 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) • Experience in programming CUDA kernels is an advantage • Familiarity with ML frameworks and LLMs • Background in parallel programming / high-performance computing / RDMA technology At NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the smartest engineers in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA Networking IC Product Engineering team is looking for a Post Si Characterization and Validation engineer, to take part of Network ASIC, SOC and SiPh ICs characterization efforts of speed, logic, memory, power and analog circuits both using ATE and system level testing. We are in need of hardworking and motivated engineers. Do you have passion for data analysis, post-Si hand on work and problem solving? We will be happy to have you on our team! What you'll be doing: • The position includes taking ownership of characterization of IC performance and power parameters, developing new characterization and analysis capabilities, enabling the qualification of new and improvement of future products. You will define and build the required tests, perform the analysis and present the results and conclusions to a wide forum including leading designers and high-level executives. • Take important part in definition of requirements for post-SI validation, as well as IC power and performance characterization. • We offer an exciting work environment, with many new learning experiences and interactions with people from different aspects of the company. Our company employs some of the best engineers in the communication field from all across the world, working on innovative technology and developing new and daring projects. • We are searching for hardworking engineers, that will lead new projects starting from the product definition phase, until the mass-production phase, working closely with several other teams, including chip design, power architecture, and BE. What we need to see: • B.Sc. in Electrical Engineering/ Materials Engineering/Physics (or equivalent experience) with 5+ years of experience. • Confirmed experience with data analysis /product engineering/ FAB device engineering/Yield engineering. • Hands-on experience in analog and mixed-signal circuit characterization (e.g., PLLs, SerDes, ADCs/DACs, bandgap/reference circuits), including bench measurements and silicon debug. • Strong problem-solving abilities and out of the box thinking. • Work in a fast-paced, multifaceted work environment with a focus on technical excellence, innovative thinking and strong analytical skills are required. • Ability to self-manage, show leadership, and have good social skills. Ways to stand out from the crowd: • Prior Semiconductor Test engineering/VLSI validation experience. • Hand on experience with scopes and lab equipment. • Programming & Data analysis experience. • Understanding of BE procedures and knowledge of power terminology and measurement methods. • Power management characterization and reliability & validation engineering experience.

We are looking for a creative and independent Test for Reliability Engineer. NVIDIA Networking 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. Today, NVIDIA is increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with people who can join us at the forefront of technological advancement. We need a creative individual who will help transfer Network Silicon ICs products (Switch, NIC, SmartNic) from design engineering to mass production. You will be exposed to various aspects of design, DFT and test of NVIDIA network IC products, and will be responsible for definition and development of tests for reliability stressing of Network-ICs. In addition, your responsibilities will include working with production test and HW teams. If you are passionate about enabling of the highest quality Network products that will change the world, we want to hear from you! What you'll be doing: • Implement IC accelerated stress tests. Reliability testing of Integrated Circuit devices to assure high reliability throughout life cycle. • Leading IC reliability activities on various product lines and cutting-edge technologies • Developing test patterns and test programs for reliability evaluation. • Investigation and debug of test patterns , including HW issues . • Developing and improving work procedures and methodologies. Working together with multiple groups –silicon design, system and product engineering, test engineering, hardware and operations. • Working with analog and digital design teams, DFT, as well as Backend team for reliability stress and test definitions and problem solving • Development and integration of system level testing for accelerated life-test What we need to see: • B.Sc. degree in Electrical/Computer engineering, Computer Science or equivalent experience • 3+ years of experience with IC test development • Experience with UltraFlex or/and other IC testers/ HTOL ovens • Good communication skills with diverse teams and functional groups • Strong problem-solving skills and methodical thinking • Curious, inquisitive, detail oriented, leader • Multi-tasking capabilities • High self-learning skills and independence level Ways to stand out from the crowd: • Knowledge of IC testing/ DFT • Knowledge of board design • Background with semiconductor manufacturing process • Experience working with subcontractors and Vendors Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA Networking division is looking for an excellent Senior System Validation Engineer! NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, big data, and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. What you'll be doing: • Test Verification and Validation (both HW and SW). • Maintain products’ quality by improving test stability, coverage, design, and manufacturing process in Mass Production. • Execute tests in different scopes such: as regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity. • Troubleshooting and streamlining/optimizing our testing procedures. • Support Mass production matters. • Debugging production bugs and solving them. What we need to see: • Bachelor’s degree in electrical/computer Engineering or a related field with 5+ years of experience. • Experience in hardware & software validation. • Programming experience in one or more programming languages: Perl, Python (C / C++ - nice to have) • Strong automation/scripting skills • Coding experience - Understand a large Python project code and derive unit tests • A good knowledge of simulation flow and test automation development • Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design • Excellent interpersonal and communication skills in English Ways to stand out from the crowd: • Experience as a System Validation Engineer • Experience in high-speed electrical testing and Unit test • Background with production manufacturing flows NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer as we highly value diversity in our current and future employees.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA’s networking business unit as we explore AI’s vast capabilities. We aim to revolutionize data transfer in AI datacenters and build the next generation of datacenters. Our Switches, NICs, and DPUs drive groundbreaking developments in NVIDIA datacenters. We’re looking for hardworking individuals to join our team in Yokne'am Illit, Israel, where you can make a meaningful contribution in optimizing the power-to-performance tradeoff! What you'll be doing • Lead the execution of system-level functional characterization of networking ASICs. • Focus on functional stress testing to ensure flawless performance and optimal power consumption. • Complete and analyze results, correlating performance parameters with parametric data from ATE (production). • Evaluate effects of silicon/environmental considerations on key parameters. • Build relevant DOEs, write required scripts/functions/envelopes, and debug HW and SW issues. • Collaborate with premier design, architecture, and validation teams to develop robust characterization plans, product power management policy, and drive power features to implementation. • Partner with multi-functional teams to meet project achievements and drive products to production with high quality. What we need to see • A Bachelor's degree in Electrical Engineering or a related field, or equivalent experience. • Confirmed experience of 5+ years in networking ASIC functional validation or characterization. • Strong understanding of IC networking power and performance aspects, and proficiency in HW debug techniques and tools. • Knowledge in python/C/C++ and experience with writing software for hardware interaction. • Excellent problem-solving skills and attention to detail. • Ability to lead execution teams in a dynamic, high-paced environment. • Experience in building AI agents and integrating them in your daily work. Ways to stand out from the crowd • Knowledge of IC timing considerations. • Knowledge of the effect of voltage/temperature on ASIC functionality. • Consistent track record as a technical lead in similar projects. • Outstanding communication and leadership skills. • Workable knowledge in English. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA's New Product Introduction (NPI) team is growing, and we're looking for a highly motivated and diligent Manager for the Engineering Vendor Manager to join us. In this critical role, you'll be responsible for the engineering management of our most strategic and technologically advanced suppliers, ensuring the highest quality and reliability of components for our groundbreaking products. This is a high-visibility role requiring both tactical execution and strategic thinking in a fast-paced, high-volume production environment. What you'll be doing: • Lead a team of engineers as part of the EVM team for assigned component categories: PCBs, liquid cooling systems, high-speed connectors, and optical components for switches • Drive component readiness and maturity against program timelines and project gates • Build and manage supplier capability roadmaps aligned with NPI standards and qualification milestones • Prepare suppliers for automation ramp — both for capacity scaling and quality assurance • Develop suppliers toward NVIDIA’s NPI standards, including process audits, yield targets, and reliability requirements • Collaborate closely with engineering, manufacturing, and supply chain teams to align component status with program schedules • Monitor and manage component risk; escalate proactively and drive mitigation plans • Manage detailed work across multiple concurrent programs in a dynamic, high-pressure environment What we need to see: • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related technical field. • 12+ years of overall experience including 8+ years of management experience in hardware engineering, NPI, Process management, or supply chain • Strategic thinking with the ability to see the big picture across programs, suppliers, and organizational priorities • Demonstrated ability to lead and influence across multiple stakeholders and organizational levels — both internally (engineering, operations, supply chain, finance) and externally (suppliers, contract manufacturers) • Experience driving supplier development through NPI processes and quality systems • Cross-functional communication skills — ability to communicate effectively at all levels of the organization, from factory floor and supplier operations to senior leadership, and across multiple interfaces including engineering, program management, supply chain, and quality • Resilience and effectiveness under high workload and ambiguity in a dynamic environment • Deep process understanding with the ability to manage at the detail level Ways to stand out from the crowd: • Experience with advanced manufacturing technologies (e.g. high-speed PCBs, Liquid Cooling Systems,Electro-mechanical, high Speed IO, etc.) • Familiarity with NPI processes in a fast-paced technology company • Proven track record of management technological teams with operational orientation NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative manager, with a real passion for managing teams to deliver cutting-edge AI Infrastructure, we want to hear from you! Come, join our Engineering Vendors Management team and help build and develop high end and cutting edge technology vendors.

NVIDIA's New Product Introduction (NPI) team is growing, and we're looking for a highly motivated and diligent Engineering Vendor Manager to join us. In this critical role, you'll be responsible for the engineering project management of our most strategic and technologically advanced components and suppliers, ensuring on-time delivery of the highest quality and reliability of components for our groundbreaking products. What you'll be doing: • Manage the product as a project – Define the timeline for having our designs out, manage quality meetings, set full road map for quality, capacity and automation as readiness towards HVM • Lead engineering engagement with strategic and critical suppliers for new product introductions (NPI) and ongoing production, identify potential risks, critical parameters, and areas for optimization • Define and implement clear monitoring and documentation requirements for key process steps to ensure consistency and quality • Establish comprehensive quality criteria and outgoing quality control (OQC) procedures at suppliers prior to shipment • Monitor and analyze supplier yield data, production metrics, and quality performance to identify trends and drive corrective actions • Lead and align internal NVIDIA engineering teams (Design, Product, Reliability, Quality) — teams that do not report to you — to ensure supplier capabilities align with product requirements and committed timelines • Conduct supplier technical audits and provide mentorship on standard processes in manufacturing and quality control • Own issues end to end — drive the investigation to root cause and come to the table with a recommended solution, an implementation plan, and an owner, not only with a flagged problem What we need to see: • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related technical field • 8+ years of proven experience in engineering roles, with a significant portion focused on process management, manufacturing engineering, or NPI • Proven track record to understand complex manufacturing processes and identify critical control points • Strong background in process quality methodologies. Experience with yield analysis, data interpretation, driving root cause analysis for technical issues and driving corrective actions through to verified closure • Excellent communication, interpersonal, and leadership skills to effectively collaborate with internal teams and external suppliers • Demonstrated ability to run a technical program to committed timelines and to influence and mobilize cross-functional teams over whom you have no direct authority • Sound engineering and quality judgment weighed against the operational needs of the business - able to make and defend pragmatic trade-offs between technical risk, schedule, capacity, and cost • Resilience and effectiveness under high workload and ambiguity in a dynamic environment Ways to stand out from the crowd: • Experience with advanced manufacturing technologies (e.g., advanced packaging, high-speed PCBs, Electro-Mechanical, mechanical, electrical, high Speed IO, etc.) • Familiarity with NPI processes in a fast-paced technology company • Proven track record of driving significant quality or yield improvements at suppliers • Experience with DFM (Design for Manufacturability) and DFT (Design for Testability) principles NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative engineer, with a real passion for leading to production excellence to deliver cutting-edge AI Infrastructure, we want to hear from you! Come, join our Engineering Vendors Management team and help build and develop high end and cutting edge technology vendors.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is now seeking a Strategic Sourcing Senior Manager to join our Global Corporate Indirect Procurement team, headquartered in Santa Clara, CA to support growth in NVIDIA’s Real Estate and Data Center portfolio. This position will lead procurement efforts and supplier relationships for Real Estate and Data Center Construction critical to the success of the company, focusing on delivering optimal solutions, driving cost savings and improving overall commercial terms. Responsibilities for this position include tenant improvement and ground-up construction for US and international construction sourcing projects. What you’ll be doing: • Work with the key internal partners (Project Management, Legal, Finance and Engineering) to assess opportunities for and accomplish cost savings/improved contract terms. • Support the objectives of the Real Estate and DC MEP Engineering & Construction teams to achieve the overall mission of Nvidia. • For each spend category lead efforts to develop/be responsible for a category plan, perform market research to identify viable suppliers and establish a scalable supply base to support NVIDIA’s anticipated growth. • Lead sourcing activities, including RFXs and negotiate construction-related contracts (e.g. general contractors, MEP design-build, engineering, architects, development managers and cost consultants). • Implement sourcing process project management from start to end, including regular status updates to internal partners. • Deliver results with a strong commitment to quality, ethics, and customer-focused delivery model. • Identify areas for process/toolset improvement and develop/implement strategic plans to increase efficiency and productivity and supervise performance to ensure objectives are being met. What we need to see: • Bachelor’s degree required or equivalent experience. • 8+ years of strategic sourcing experience, with a proven track record of leading large-scale capital expenditure (CapEx) construction programs in a fast-paced environment. • Proven ability to work effectively with various collaborators to meet demanding project schedules and lead negotiation teams for complex construction and development contracts. • Expert in procurement for Real Estate Construction contracts, focusing on Design-Build and Cost + Fixed Fee % with GMP. • Skilled negotiator able to achieve favorable contractual terms and market competitive commercial rates. • Experience in qualifying and developing a supply base of qualified construction contractors in partnership with internal business partners. • Business acumen to make informed decisions in an environment of incomplete data and quickly changing plans and priorities. • Experience with project management and procurement tools (e.g. e-RFx, Contract Lifecycle Management) in the completion of sourcing projects. • Excellent communication skills giving presentations to senior management. • Experience in managing large-scale, complex construction procurement projects, preferably within a global organization or supporting multi-national collaborators. Ways to stand out from the crowd: • Master’s or other advanced degree • Expert contract negotiation skills • Experience with Colo and CSP agreements is highly desirable. • Detailed technical and supply base knowledge of latest rack cooling systems and MEP equipment for next generation data centers. • Experience in providing construction procurement support for campus development. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us, and due to outstanding growth, our Finance teams are rapidly growing. If you're creative and autonomous with a real passion for technology, we want to hear from you.

NVIDIA is building the world's most advanced AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence. We are seeking an AI Networking Architect to join the Networking Research Group. This role bridges the gap between emerging AI workloads and the data center infrastructure that powers them, working at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape NVIDIA products across the full stack — from applications and software libraries to hardware architecture and physical design. What you'll be doing: • Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations. • Analyze new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements. • Build simulation and hardware platforms, run real AI workloads on them, and develop analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior. • Translate research insights and workload behavior into actionable software, xhardware, and networking architecture requirements. • Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps. • Drive architectural innovation by applying deep workload analysis to production machine learning frameworks. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • 5+ years of relevant industry or research experience. This is not an entry-level position; coursework and personal projects do not substitute for production or research experience at scale. • Hands-on experience running and analyzing AI workloads on multi-node systems — distributed training or large-scale inference — including measuring where time and resources are actually spent. • Demonstrated performance analysis work: building analytical or simulation models of real systems, validating them against measurement, and identifying bottlenecks that led to design or deployment changes. • Strong systems-level thinking across the full AI stack, from model and framework behavior down through compute, memory, storage, and network. • Track record of translating research findings and workload analysis into concrete software and hardware specifications that engineering teams acted on. • Strong programming skills in Python and C/C++, applied to performance modeling, data analysis, and prototyping. Ways to Stand Out from the crowd: • Deep understanding of data centers, network topologies, and communication protocols. • Familiarity with GPU clusters, collective communication, storage systems, and AI networking bottlenecks. • Experience with distributed training, distributed inference, or large-scale AI serving systems, including the performance metrics and deployment strategies that govern them. • Experience in agentic programming and AI tooling. • Track record of turning academic research into concrete software, hardware, or architecture requirements, and of leading complex multidisciplinary projects with measurable production impact. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.

NVIDIA is seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation NVIDIA data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead NVIDIA DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink. What you'll be doing: • Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation NVIDIA AI GPU clusters, focusing on large-scale distributed training and inference workloads. • Deeply evaluate and optimize NVIDIA Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms. • Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs. • Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries. • Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent technical experience. • 8+ overall years of experience and deep expertise in High Performance Networking, RDMA, and Systems level performance. • 3+ years of experience as an engineering team manager leading technical performance or R&D teams. • Hands-on experience analyzing and optimizing collective communication (e.g., NCCL, MPI) and network traffic patterns for large-scale distributed AI workloads (LLM training and inference). • Hands-on experience designing, deploying, and customizing Grafana dashboards for cluster monitoring, alerting, and data visualization. • Exceptional cross-team leadership, analytical thinking, and communication skills to drive alignment across hardware, software, and architecture groups. Ways to stand out from the crowd: • Proven track record of optimizing NCCL, RDMA/RoCEv2, and custom collective algorithms specifically tailored for multi-thousand GPU deployments running LLMs or Mixture-of-Experts (MoE) architectures. • Deep experience tuning advanced network traffic mechanisms such as adaptive routing, PFC/ECN congestion control, and packet-spraying technologies. • Experience building autonomous performance-driven tools, AI-assisted root cause analysis agents, or automated regression frameworks for continuous cluster-level performance evaluation. • Hands-on experience developing custom Grafana plugins, complex dashboard panels, or integrated alert management workflows using PromQL/LogQL for hyperscale or HPC environments. 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #LI-Hybrid

NVIDIA is seeking a senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms. Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure. In this role, you will own system-level architecture across multiple technologies and organizational boundaries. You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment. What You’ll Be Doing: • Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration. • Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization. • Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions. • Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more. • Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans. • Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system. • Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production. • Author architecture documents, design specifications, technical requirements, and technical publications. • Provide technical leadership and guidance to engineering teams throughout implementation and integration. What We Need to See: • Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience. • 5+ years of experience in software architecture, systems engineering, or the development of large-scale, performance-critical systems. • Strong networking background, including a deep understanding of high-performance networks, distributed systems, and networked applications. • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows • Proven experience defining and delivering end-to-end architectures that span software, hardware, networking, and infrastructure. • Experience leading complex technical initiatives in a large-scale, multi-functional environment. • Ability to translate broad product goals into clear architectural requirements, interfaces, tradeoffs, and execution plans. • Excellent communication and technical leadership skills, with the ability to influence decisions across teams with multifaceted strengths and organizational boundaries. Ways to Stand Out from the Crowd: • Experience architecting high-performance networking solutions for AI, cloud, data center, or distributed computing environments. • Familiarity with NVIDIA networking technologies and the Spectrum-X platform. • Background in AI training or inference infrastructure, GPU-accelerated systems, or large-scale compute clusters. • Experience with AI Accelerators and distributed communication patterns, congestion control and/or load balancing. • Proven success identifying and resolving efficiency constraints across complex, multi-component systems. NVIDIA is widely considered one of the most desirable places to work in technology. We are passionate about what we do and committed to a culture of technical perfection, innovation, and teamwork. If you want to define comprehensive system builds that combine advanced networking, accelerated computing, and large-scale software systems, this role is for you.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by excellent technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world. NVIDIA is seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build ground breaking systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in the world. You’ll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across NVIDIA and leave a mark on the way generative AI reaches real-world applications. What You’ll Be Doing: • Design and evolve scalable architectures for multi-node LLM inference across GPU clusters. • Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production. • Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions. • Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching. • Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration. • Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems. • Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate. What We Need to See: • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience. • 8+ years of experience building large-scale distributed systems or performance-critical software. • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking. • Proven software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms. • Strong system-level thinking across memory, networking, scheduling, and compute orchestration. • Excellent communication skills and ability to collaborate across diverse technical domains. Ways to Stand Out from the Crowd: • Experience working on LLM - training or inference pipelines, transformer model optimization, or model-parallel deployments. • Proven success in profiling and optimizing performance bottlenecks across the LLM training or inference stack. • AI Accelerators and distributed communication patterns, congestion control and/or load balancing. • Shown optimization process for complex systems, deployed at scale to make impact. • Proven experience successfully driving complex organizational processes from planning through implementation. NVIDIA is widely considered one of the most desirable places to work in tech – we are passionate about what we do and are committed to fostering a culture of perfection, innovation, and collaboration. If you’re excited to help define how the world runs AI at scale, this role is for you. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. While planning your future, explore the benefits available to you and your family at www.nvidiabenefits.com/

We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. NVIDIA’s next-generation Ethernet and NVL switches are at the core of the world’s most advanced compute clusters — from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at NVIDIA, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology. What You'll Be Doing: • Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle — from early concept to deployment. • Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options. • Lead research and exploration of future architectures, including innovation that contributes to patent development. • Collaborate closely with cross-functional teams — including other architecture groups, logic design, firmware, system software, and research — to ensure successful execution and integration. • Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization. ​ ​What We Need to See: • BSc or MSc in Electrical Engineering, Computer Engineering, or related field • 7+ years of proven experience in chip architecture, digital design, or design verification • Solid understanding of digital ASIC design and strong familiarity with the full chip development cycle • System-level thinking — ability to reason across hardware/software boundaries and understand how switch architecture impacts end-to-end performance • Comfortable navigating between RTL, models, and system software to drive architectural clarity ​​Ways to Stand Out from the Crowd: • Deep knowledge of networking and compute systems • Hands-on experience in system architecture across domains such as networking, CPUs, GPUs, or memory subsystems • Background in in-network computing or data-path acceleration ​ NVIDIA has some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. It’s not just technology though! It is our people, some of the brightest in the world, and our company diverse culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.

NVIDIA is looking for an experienced HW Board Design Engineer to join the IC Product Engineering HW team and to lead the design and execution of test boards for IC products. NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration. What you'll be doing: • Full responsibility for electrical specification, schematic design, components selection and layout considerations • Extensive lab bring-up and debugging until the testing platform efficiently implemented in the Production floor • Work with multiple R&D and Production groups: Mechanics, Signal Integrity, Layout, DFT, Firmware and Testing • Work with the most advantage ATE product in the market - UF Tester & Prober - wafer sort products What we need to see: • B.Sc. in Electrical Engineering • 3+ years of experience as a Board Design Engineer • Experience with Digital circuits, Power and High-speed design • Project Management skills • Advantages: system-level understanding and familiarity with production environment - Wafer sort and final test • Personal skills: Self-instruction, Multi-disciplined, Multi-Tasking and good interpersonal relationship NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! We are 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What you’ll be doing: • Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads. • Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. • Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value. • Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies. • Lead proof-of-concept development to evaluate and drive such technologies. What we need to see: • Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). • 5+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads. • Experienced in algorithm design, system programming, computer architecture and operating systems. • Experienced in virtualization, networking and storage. • Deep understanding of performance profiling and optimization techniques, together with defining and using hardware features. • Strong programming and software development skills. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: • Shown research track record. • Have experience and passion for system architecture, CPU/GPU/memory/storage/networking. • Stellar communication skills. • Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents). • Deep understanding of Inference and Training workloads and optimizations, like Prefill/Decode, data parallelism, Tensor parallelism, FDSP and others. NVIDIA is widely considered to be one of the technology world’s 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! 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.