Nvidia

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.

The team leads the development of networking infrastructure for NVIDIA's next-generation data centers, focusing on accelerated performance while enabling optimized end-to-end GPU connectivity, focusing on datacenter-level optimized solutions for AI. As a leader of our switch Hardware Engineering team, you'll guide, encourage, and drive a team of highly skilled hardware engineers, providing them with stimulating and ambitious assignments and enabling them to stay creative and motivated while delivering products on schedule. What You'll Be Doing: • Build the best team to design and execute high-performance switch system from concept to mass production. • Be a key member of the technical leadership team developing world-class switch designs. • This position is hands-on and will require a deep understanding of all technical/engineering aspects of the project with intimate familiarity with the entire development flow. From a technical standpoint, you will lead and support engineering teams in the following areas: specification definition, electrical schematics, opto-mechanical design, component selection, layout guidance, hands-on lab testing, production processes, qualification workflows, micro-architecture development, verification, characterization, design for testability, cost optimization, reliability, and more. • Collaborate with and integrate all HW project disciplines: Board Design, Assembly Process, Mechanics, Thermal, PCB Layout, Process , Production Engineering, Software/Firmware, Procurement, NPI, and more. • Plan and oversee your team’s work on multiple simultaneous development projects in coordination with the broader leadership team. Manage direct reports, set goals, provide coaching, conduct performance appraisals, plan careers, and make compensation recommendations. • Collect, examine, and filter requirements from internal customers such as marketing, software, and systems engineering to assemble a comprehensive plan of record for next-generation switches while planning resource allocation for projects and assign team members effectively. • Schedule projects, create realistic outcome estimates, and drive timely, successful execution for high-volume manufacturing. What We Need to See: • A Bachelor's or Master's degree in Electrical Engineering. • 10+ overall years of industry experience in architecture, design, and methodology for cutting-edge board design development. • 6+ years of technical design management experience. • Proven experience in leading multi-disciplinary projects, multi-layer, high density PCB design. • A deep understanding of broadband high-speed ICs. • The ability to provide insight and guidance on trade-offs between power, performance, manufacturability, thermals, cost to meet product requirements. • Proven experience with leading execution of highly complex and innovative designs in tight schedule with risk mitigations and detailed planning for first time success. • Strong interpersonal and communication skills, with the ability to quickly build relationships, prioritize conflicting needs, and align teams effectively. Ways to Stand Out From the Crowd: • Experience in designing data-center networking products for high-volume manufacturing. • Experience with optoelectronics and optical communication systems. NVIDIA is widely considered 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 passion for leading teams to deliver cutting-edge high speed optical communication solutions, we want to hear from you!

NVIDIA is looking for a Senior Chip Design Engineer to join our Network Adapter Silicon group. As a Senior Design Engineer at NVIDIA Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! What you'll be doing: • Work in a combined design and verification team which develops core units within the Networking silicon. • Own micro-architecture definition and RTL implementation of chip blocks/entities according to specifications, performance, timing, area and power requirements. • Drive your design through the full implementation flow — synthesis, timing closure, lint/CDC and physical design constraints — together with the backend teams. • Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, Verification, FW and Post-Silicon validation. What we need to see: • B.Sc. in Electrical Engineering or Computer Engineering, or equivalent experience. • 5+ years of proven experience in RTL design. • Strong knowledge of HDL (Verilog/SystemVerilog/VHDL). • Solid understanding of digital design fundamentals — pipelining, clock domain crossing, arbitration and low-power techniques. • Familiarity with synthesis and static timing analysis is an advantage. • A great teammate with good communication and interpersonal skills. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance and lowest power silicon possible? If so, we want to hear from you. Come, join our Network Adapter Silicon design team and help us build the next chip in this exciting and quickly growing field.

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.

NVIDIA is looking for an experienced SW Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMX product line. What you'll be doing: • The team develops infrastructure for controlling, monitoring and gathering telemetry from production environments, running on the world’s largest supercomputers and data centers. • The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. • Our team works closely with other engineering teams to co-design new features and software APIs What we need to see: • B.Sc. or equivalent experience in computer science / software engineering. • 5+ years’ experience in Programming in Python and C/C++. • 3+ years’ experience in Linux environment and tools. • Expert knowledge in computer architecture and operating systems. • Experience in performance optimizations. Ways to stand out from the crowd: • You have positive attitude and work well with others. • Demonstrated use of creative ideas, providing solutions to challenging problems. • Deep knowledge of Networking Protocols (InfiniBand, Ethernet). NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. 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 most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are growing fast. If you're a creative and autonomous manager with a real 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 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

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/

We’re looking for a dynamic Developer Relations Manager who is passionate about supporting and scaling the AI-native healthcare, digital biology, and genomics ecosystem. In this role, you’ll work directly with engineering teams, researchers, and technical leaders. They come from enterprise healthcare organizations, biotech companies, start up's, and research institutions. You will help them compose, build, and deploy accelerated AI solutions using NVIDIA platforms. This position is ideal for someone with a strong technical foundation who enjoys working at the intersection of life sciences and computer science. The role involves solving complex engineering problems and helping developers succeed in transforming human health. What You'll Be Doing: • Serve as a trusted technical advisor to the healthcare and life sciences ecosystem. Understand their critical workloads like drug discovery using AI, large-scale genomic sequencing, and clinical medical imaging. Guide technical enablement across the NVIDIA stack. • Partner with ecosystem developers to integrate NVIDIA specialized platforms. These include NVIDIA Clara, BioNeMo, and Parabricks. This enables co-innovation and the development of next-generation AI solutions for biotech, clinical, and hospital applications. • Map, build, and expand a rich ecosystem of strategic healthcare partners and developers. Champion NVIDIA technologies, track healthcare AI trends, and multiply growth opportunities across the industry. • Work closely with partner engineering teams, technical leaders, and decision-makers. Unpack goals and tackle complex technical challenges like multimodal data integration, secure clinical model deployment, and high-performance computing constraints. Endorse protocols for successful integrations. • Advocate for the healthcare developer's technical needs. Funnel feedback to NVIDIA’s product and engineering teams. Supply actionable insights from field deployments to influence healthcare-specific product roadmaps. What We Need To See: • BS/MS/PhD in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, or an AI-related field or equivalent experience. • 5+ years of overall industry experience in software engineering, developer relations, or technical partnerships, including 2+ years of hands-on experience applying AI/ML to healthcare, life sciences, or genomics. • Proven experience leading technical partnerships and ecosystem engagement. You have a deep understanding of the outstanding data privacy and infrastructure challenges in healthcare AI, including HIPAA compliance and federated learning. • Excellent interpersonal skills enable you to connect complex life science concepts with AI engineering. You can explain these ideas clearly to diverse audiences, including computational biologists and enterprise executives. • Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external customers across cross-functional teams. Ways To Stand Out From The Crowd: • Deep familiarity with NVIDIA’s healthcare platforms, including BioNeMo (for generative AI in biology), Clara (for medical imaging/devices), and/or Parabricks (for accelerated genomics). • Experience driving developer adoption or leading technical teamworks within biotech, digital health, medtech, or pharmaceutical enterprises at scale. • Hands-on experience with foundational biological models, structural biology tools (e.g., AlphaFold workflows), or processing massive genomic, clinical, or electronic health record (EHR) datasets. • A builder attitude with a passion for using technology and community engagement to solve global health, clinical, and biological challenges. 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, autonomous, and passionate about the future of AI in medicine, we want to hear from you!

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

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd: • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background.