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Solutions Architect, Data Center Buildouts - NVIS
Join NVIDIA as a Solution Architect on the Infrastructure Specialists team. Help redefine deep learning, data analytics, and power data centers worldwide using NVIDIA products. Collaborate on building the world's largest and fastest AI Factories and supercomputers. We are seeking a candidate who can lead the planning and deployment of large scale AI data centers, focusing on infrastructure buildout including power and cooling systems, telemetry and control systems, and large scale design, construction and delivery processes. In this role, your main focus will be to support customers in the areas of planning, design, construction, and deployment of large scale AI factories. You will be a part of the team building capabilities to design, construct and deliver large AI factories based on NVIDIA's reference designs. This includes architectural systems, power distribution, cooling systems, integration of telemetry and control systems, and all other physical infrastructure. Collaboration with product and engineering teams, customers, and the partner/provider ecosystem will be crucial to achieving successful deployments. What you will be doing: - NVIS Data Center deployment planning: Collaborate with product and engineering teams to understand NVIDIA’s reference architectures for data center infrastructure including power distribution, cooling systems, controls and monitoring, and network/cabling architecture. Support customers and partners in quickly implementing this architecture into advanced and reliable data center designs. - Building process capabilities: Collaborate across the org to build processes, partner relationships and workflows to deliver and deploy large AI factories at speed of light (SOL). - Design and construction oversight: Review and appraise customers' and partners' infrastructure design plans, verifying their compliance with NVIDIA reference architecture, industry standards, and regulatory requirements. Deliver guidance, expertise and suggestions to optimize performance, scalability, and cost-effectiveness. - Ensure alignment with our customers and partners on reference architecture, guidelines and processes to make their deployments successful. - Assess the operational efficiency, reliability, and readiness of data center infrastructure components before deploying AI/HPC clusters. Develop and implement comprehensive audit plans and conduct pre-deployment audits to identify potential issues, risks, and areas for improvement. - Partner and vendor ecosystem: Develop and sustain a strong ecosystem of manufacturers, service providers and partners as needed, to ensure customers can deploy NVIDIA solutions rapidly and reliably as well as be the key liaison for customers and partners on matters of data center infrastructure. - Act as the NVIS mentor providing guidance, mentorship, and support to ensure the team's success in their respective roles. - Quality Assurance: Implement and make quality assurance processes to ensure that deployments meet established specifications and performance benchmarks. Conduct detailed bring-up, testing, and commissioning to validate the functionality and reliability of infrastructure components. - Continuous Improvement: Drive continuous improvement initiatives to improve data center infrastructure reliability, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and apply new technologies to optimize infrastructure operations. - Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the flawless integration of data center infrastructure solutions. Serve as a domain authority and point of contact for infrastructure-related inquiries and critical issues. What we need to see: - Bachelor's degree or equivalent experience in Engineering, or a related field. Advanced degree or equivalent experience or relevant certifications are desirable. - We need an expert professional with a background in multiple aspects of infrastructure delivery, preferably of hyperscale data centers. The ideal candidate will have at least 12 years of experience, preferably in sophisticated, high-density AI/HPC data centers. - Proven experience in data center engineering, operations, deployment and/or infrastructure management roles, focusing on large-scale data center deployments. - Strong technical knowledge and experience in data center systems and processes- power distribution, liquid cooling, rack/server chassis, and cabling. - Proven technical and project leadership under fluid situations, and ability to adapt to change. - Strong communication at both ground execution as well as executive levels, internally and with customers - Excellent analytical, problem-solving, communication and decision-making skills, keen attention to detail, and a dedication to quality. - Strong record of excellent partnership and putting the mission's success first. - Coordination & Time Management – proficient at planning, scheduling, and coordinating tasks related to the job to accomplish objectives within or ahead of designated time frames. - Able to travel (25%). Way to stand out from the crowd: - Experience in hyperscale data center deployment, operations process, safety, and security measures. - Solid understanding of the whole data center Infrastructure stack. - Outstanding social skills. NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior System Software Engineer, AI Infrastructure
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. NVIDIA platforms are at the center of generative AI, autonomous driving, industrial robots, medical instruments and data centers across the world where GPU accelerated AI is revolutionizing the technology industry. As a platform company we deliver not just hardware solutions but also vertically integrated software stacks, GPU accelerated SDKs, libraries and tools. As we take our products to market, we need a dedicated and motivated System Software Engineer who is passionate about AI Infrastructure. You will collaborate with engineering, product, and marketing teams to critically assess our hardware and software solutions, elevating the overall product offering and customer experience. You will be working in a multifaceted environment engaging with multiple groups within the company to improve NVIDIA’s developer products. You will use your system and application development knowledge to evaluate user experience and performance of our AI platforms, SDKs, libraries and AI frameworks. Excellent written and verbal communication skills are important. The ability to work independently and the motivation to pick up new technologies and skills will help you excel on the job. What you’ll be doing: - Run multi‑node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education. - Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks. - Profile deep‑learning workloads, identify bottlenecks, and deliver optimization guidance. - Produce concise tutorials, scripts, and whitepapers for customers and tech press. - Analyze competitive solutions and craft data‑driven product positioning. - Present live demos at GTC, CES, SIGGRAPH, and other global conferences. What we need to see: - Passionate about AI infrastructure and performance optimization. - 3+ years in software development, tech marketing, evangelism, or similar roles. - BS/MS in CS, CE, EE, or related field (or equivalent experience). - Strong Python and C++ skills for AI and HPC work. - Hands‑on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters. - Solid grasp of DL architectures, PyTorch, and distributed training methods. - Understanding of CPU/GPU architecture plus CUDA, cuDNN, TensorRT‑LLM, Triton, NCCL - Excellent written and verbal communication for technical and executive audiences. Ways to stand out from the crowd: - Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers. - Public technical blogs, talks, forum activity, or notable open‑source projects as well as prior work with customers and/or technical press on AI performance topics. - Exceptional communication skills that simplify complex technology for diverse audiences. - Familiarity with modern LLM architectures and ability to write Torch code and occasional custom GPU kernels. - Expertise in InfiniBand, NVLink, RoCE, RDMA, and collective‑comm libraries. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Technical Program Manager, DGX Cloud
NVIDIA’s deep learning platforms have significantly influenced many areas and are widely adopted by top academic institutions, emerging companies, and industry leaders, including the largest Internet firms. We are looking for a skilled and committed technical program manager for NVIDIA's DGX Cloud. We want enthusiastic, diligent, and innovative individuals to help provide value to DGX Cloud users. What you'll be doing: - As a DGX Cloud technical program manager, you will act as the link between global cloud service providers and NVIDIA engineering teams, building outstanding cloud infrastructure and user experiences for DGX Cloud customers! You will collect requirements, lead prioritization, timelines, and planning for all stages of the product life cycle. You will manage risks and address issues impacting scope, schedule, and quality, ensuring the programs meet quality standards. - Develop and lead achievements and schedules for the many moving parts that need to come together. - Lead and improve existing product development; collaborate with engineering management to improve the development workflow and engineering efficiency. You will have the opportunity to interact with diverse technical groups, spanning all organizational levels. - Partner with the engineering team and product management to define and deliver project roadmaps, schedules, and achievements. - Identify and address risks and resolve issues that impact all aspects of scope, schedule, and quality. - Develop and drive a communication strategy that provides Cross functional and org visibility on overall Program progress and engineering delivery. - Drive organizational efficiency by coordinating with cross-functional leads and streamlining processes - Foster an environment of ongoing development, identifying chances for process improvements. What we need to see: - 10+ years of Program Management experience driving the planning and execution of large programs, software engineering projects in a matrix environment - Enthusiastic, energetic, responsive, and passionate about discovering ways to improve processes! - Experience in successfully leading global projects across time zones. - Experience with Jira and/or JAMA is required. You should comfortably guide an engineering team on how to use these tools and implement them in an Agile/scrum manner. - Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource conflicts. - Expert in Enterprise scale lean process development - Expert in rolling out new efficiencies organization-wide - Ability to drive cross org alignment across senior and executive leaders. - Possess excellent communications and technical presentation skills. - MS EE or CS degree, or equivalent experience Ways to stand out from the crowd: - Highly motivated with strong communication skills, with proven track record to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies. - Working understanding of cloud technologies is a plus. - Background with new product introduction and program leading research teams. - Experience with productivity tools and process automation is big plus - Kubernetes Platform Experience is a huge plus Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior VLSI CAD and AI Automation Engineer
NVIDIA is at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of what’s possible in VLSI CAD? Come be part of our pioneering team! What you'll be doing: - You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation. - Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods. - Research, prototype, and deploy AI-based algorithms. - Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process. - Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date. - Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices. What we need to see: - B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. - 5+ years of experience in VLSI CAD tool development, with a strong focus on integrating AI/ML techniques into EDA workflows. - Proficiency in Python and at least one AI/ML framework (such as TensorFlow, PyTorch, or scikit-learn). - Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence). - Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design challenges. - Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make). - Strong analytical skills in evaluating the impact of AI solutions on design quality, performance, and productivity. - Excellent communication skills and the ability to work cross-functionally in a fast-paced environment. - Self-motivation, attention to detail, and a track record of delivering robust solutions to production. Ways to stand out from the crowd: - Demonstrated experience deploying AI/ML models in production VLSI CAD environments. - Contributions to open-source AI/EDA projects or publications in relevant conferences/journals. - Deep understanding of VLSI design challenges-such as timing closure, power optimization, or yield enhancement-and how AI can address them. - Experience with cloud-based or distributed compute environments for large-scale AI training and inference. - Strong ownership, curiosity, and a passion for continuous learning and innovation. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Senior Program Manager, Enterprise AI Software
We're seeking an experienced and dynamic Senior Program Manager to orchestrate launches of AI software products, ecosystem partner activations, and go-to-market programs at the intersection of product, engineering, and business. The ideal candidate can operate fluently across both technical product delivery and go-to-market execution, understanding how engineering milestones, release quality, technical dependencies, partner readiness, and GTM activities come together to build a successful launch. We know you can thrive here by bringing structure to evolving priorities, make progress with incomplete information, and keep fast paced launches on track through clarity, accountability, and crisp stakeholder communication! What you'll be doing: - Leading and managing complex, cross-functional software launch programs with a focus on high-quality and timely delivery to drive our Generative AI initiatives and go-to-market strategies forward! - Collaborating with cross-functional teams to define program requirements, develop comprehensive plans, align workstreams to business goals, and proactively manage risks, dependencies, and launch readiness - Coordinating with product management, technical program management, product marketing, partner marketing, developer relations, and sales to drive partner readiness, co-marketing execution, launch enablement, and adoption tracking. - Managing communication across the organization through regular, clear updates on status and decisions needed. - We list our top priorities including partner activations for the Nemotron models. What we need to see: - 8+ years of project and program management experience in AI software, cloud, developer platform, or enterprise software environment driving software products and solutions launches. - A bachelor's degree or equivalent experience. - Demonstrated experience leading software launches through SDLC, including planning, development, testing, release readiness, launch, and post-launch follow-through. - Solid understanding of how product, engineering, marketing, sales, and partner teams coordinate to bring software products to market. - Experience with partner activation programs, co-marketing launches, or ecosystem go-to-market motions. - Self-starter who can apply critical thinking alongside hands-on program management in a fast-paced, fluid environment. - Strong leadership skills and proven experience in collaborating effectively with diverse teams. - Solid track record of driving alignment and decisions with senior leaders. Ways to stand out from the crowd: - Familiarity with agentic workflows, generative AI models, inference platforms, APIs, SDKs, or enterprise AI deployment patterns. - Experience using AI tools to improve program execution, reporting, risk management, or stakeholder communication. - PMP, Agile, or similar program/project management certification. 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/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Software Architect, AI Network
As a Senior Software Architect in the Accelerated Computing System and Software team, you will define architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI training and inference, deep learning systems, High Performance Computing (HPC), Networking Operating Systems, Virtualization, Storage, and more. What you’ll be doing: - Lead the development of new networking applications and libraries using hardware accelerated data plane programming to solve sophisticated networking problems in innovative ways. - Define software stack & libraries for accelerated networking for groundbreaking emerging AI and HPC networks which involves innovative software and hardware. - Be an active member in setting the use-cases and performance targets based on customer requirements - Work closely with various groups within NVIDIA to bring AI and HPC network technologies to reality, including NIC R&D, firmware and hardware teams, Product as well as fellow architects. - Define a strategic vision for NVIDIA networking in collaboration with adjacent software and hardware architects. What we need to see: - Hold a B.Sc. or M.Sc. in Computer Science, Electrical or Computer Engineering from a reputable university (or equivalent experience). - 8+ years software development experience in C/C++ - 3+ years of proven experience as a software architect. - Proven Networking experience - Knowledge of networking drivers and operating systems - A teammate with a can-do attitude, high energy and excellent interpersonal 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: - High performance user-space proven definition/development experience - DPDK and/or SPDK hands-on experience - RDMA RoCE and InfiniBand knowledge 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.
Senior HPC Support Engineer - Ethernet and AI Infr...
We are seeking a highly motivated Senior HPC Support Engineer – Ethernet / AI Infrastructure to be engaging with one of our prestige customers onsite and remote, passionate about data center and networking technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. You will act as the primary point of contact for this customer. You will spend a minimum of one week per month at the customer site in College Station, TX, US, supporting technical questions, debugging, and issue resolution. As a member of our NVEX Global Technical Support team, you are a conscientious, proficient communicator who is fundamentally interested in taking ownership in resolving issues, while ensuring that a high level of customer satisfaction is maintained and delivered. Significant part of the role is also to collaborate with Engineering, Marketing, and Support teams regularly on technical issues. What you will be doing: - Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet Switching technologies and our End-to-End Solutions such as NVIDIA Spectrum-X. - Responding to customer product support inquiries via telephone, email or conference calls - Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors - Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc. - As a technical resource develop, re-define and document standard methodologies to provide to internal teams(Support/R&D) for support process and improvements What we need to see: - 6+ years in providing in-depth Customer Support and debugging for hardware and software products. - An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience). - Shown use of established AI technologies in day-today job responsibilities. - Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues. - Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills, with the ability to maintain and lead the overall resolution for any critical issue raised by our customer, under all circumstances. Profound knowledge and experience (solving) in the following skills: - Networking Technology, protocols and routing including TCP, UDP, Ethernet, IP, L2, L3 (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF), on Enterprise Level. - Linux OS including System Administration and Networking (LFCS / RHCSA) - Able to debug networking protocols using tools such as TCPDUMP and Wireshark or similar packet generation and analysis tools. - Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes) - Adoption of AI solutions like Cursor, Gemini, ChatGPT, Copilot, Glean, etc. in your daily work routine. Ways to stand out from the crowd: Knowledge and working experience with the following: - Experience in solving problems in large-scale networking and AI Infrastructure environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts - Linux, Networking and NVIDIA AI Infrastructure and Operations Certifications such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, NCP-AII/AIO/AIN - Shell Scripting (Python, bash, Ansible, yaml, etc…) - Effective and comprehensive fixing / debugging methodology Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 207,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Mixed Signal Circuit Design Engineer
We are looking for a Senior Mixed Signal Circuit Design Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed mixed-signal circuit designs. NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. What you'll be doing: - Be part of an analog team developing high-speed chip interfaces and complex analog functions that enable our graphics processing units (GPU) and SoC products (Tegra) - Design state-of-the-art mixed-signal circuits in deep sub-micron CMOS technologies. - Work closely with physical/layout engineers to floorplan and implement physical design of these functions. - Support debug, characterization and support product through high-volume production. - If you have the dream to learn and explore new technologies and have good analytical skills, this is the ideal position for you. What we need to see: - MSEE or PhD in Electrical Engineering; 5+ years analog design experience in industry - Proven understanding of analog circuit layout concepts in submicron CMOS technologies; With experience in silicon design flow, from schematic, layout, layout, simulation, tape-out, silicon measurements. - You have experience in more than one of the following areas: digital links for display interfaces (such as HDMI, LVDS, DVI, MIPI PHY, Display Port), USB, low-jitter clock synthesis using PLL techniques, IO pads, high-speed serial links, and ADC. - Be able to communicate in spoken and written English; Work effectively in a team, good communication skills, enthusiasm and positive energy. - Proficiency in scripting languages like perl, python, skill etc.; Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like HSpice, Finesim, XA) - With experience in Cadence custom circuit design tools - particularly virtuoso; Experience running and debugging DRC and LVS with verification tools We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Formal Verification Engineer
NVIDIA is seeking a Formal Verification engineer for the Hardware Engineering team. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to tackle some of the most complex problems in computer science. It started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and 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. And we have only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hardworking, and creative people to help us take on some of these once-in-a-lifetime opportunities. This position offers the opportunity to have real impact in a progressive, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you’ll be doing: - Learning state-of-the-art formal verification methodologies - Responsible for applying best-in-class formal methodologies on complex digital designs, IP blocks and SoCs - Taking ownership of verifying a design by developing a robust test plan - Executing it by working with the design team - Coordinating with other verification team members for closure What we need to see: - B.Tech./ M.Tech. in Electrical Engineering / Computer Science with 1+ year of experience - Strong analytical skills to solve difficult problems - Understanding of abstraction techniques for effective verification - Hands-on experience with HDLs such as Verilog / System Verilog - Ability to understand RTL quickly - Understanding of temporal logic assertions
Senior Technical Program Manager - AI Acceleration
We are building the next generation of AI-powered simulation tools to accelerate hardware and silicon development. AI is reshaping how engineering teams operate, and we are investing in solutions that bring chatbots, agents, and assistant intelligence into the core of hardware workflows. As a Senior Technical Program Manager, you will play a critical role in turning this vision into reality — driving multi-functional programs, scaling systems, and delivering AI capabilities that transform how silicon is designed, verified, and brought to production. This role will also help enable AI productivity across hardware teams by making both internal and third-party AI tools available, understanding user requirements, and translating feedback back to internal platform teams and external partners. Spanning ASIC and research org, this role drives execution in close collaboration with engineers across all teams. We emphasize having influence over technical direction, not just performing tasks or tracking metrics. You should consider yourself an expert in chip design workflows and AI — or demonstrate a strong willingness to learn. Our mission is to enable NVIDIA to design and deliver world-class silicon faster than ever using AI while ensuring performance, efficiency, and resilience. What you'll be doing: - Lead end-to-end planning and execution of AI for Chip Design initiatives, ensuring timely, on-scope, and scalable delivery - Define program plans and timelines for AI capabilities, tracking progress, partnership status, risks, opportunities, and reporting status to leadership - Lead technical discussions between AI engineers, hardware teams, platform groups, and third-party tool providers to ensure alignment on requirements, architecture, integration, and delivery expectations - Operationalize the evaluation of both internal and external AI tools, drive their availability and adoption by collaborating with hardware teams, providing guidance, and gathering feedback for continuous improvement - Act as a product and program interface between silicon design teams, internal AI platform teams, and third-party partners, helping prioritize requirements and translate user needs into actionable roadmaps - Establish and monitor key program metrics to measure execution success, identify bottlenecks, and ensure delivery meets quality, performance, and scalability targets - Serve as the central point of communication for all collaborators, providing clear status updates and insights into dependencies. - Partner with engineering leaders to prioritize initiatives that improve impact for silicon development and hardware workflows What we need to see: - Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering, or a related field, with proven experience leading complex, multi-functional technical programs in AI, silicon, or infrastructure - 10+ years of technical program management spanning AI and ASIC chip design - Strong understanding of RTL design, simulation, and formal verification, as well as software engineering fundamentals, system architecture, and scalable infrastructure - Hands-on experience building, deploying, integrating, or enabling AI agents, LLM-powered systems, or AI productivity tools in real-world engineering workflows - Proven ability to collaborate deeply with engineering teams and influence technical decisions, architecture, prioritization, and trade-offs - Experience driving programs from concept through production, including planning, execution, risk management, team alignment, and delivery at scale - Ability to gather, synthesize, and prioritize requirements from technical users, and communicate them clearly to internal engineering teams and external partners - Excellent communication and leadership, with the ability to translate complex technical concepts into clear program direction and updates Ways to stand out from the crowd: - Hands-on experience in hardware or silicon development environments, understanding RTL, verification, and pre-silicon workflows - Experience evaluating, integrating, or deploying third-party tools into enterprise engineering environments - Familiarity with cloud-scale infrastructure, orchestration systems, and data pipelines for AI applications - Experience with cross-geography coordination and leading large teams or projects spanning multiple sites Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Solutions Architect, Data Center Infrastructure -...
NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists team. Academic and commercial groups worldwide are using NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world's largest and fastest data centers and supercomputers! NVIDIA is looking for someone who can lead planning and deployments of AI data centers including power/cooling systems, cabling and network provisioning and bring-up/validation. As the NVIS Solutions Architect for Datacenter Infrastructure, you will focus on data center audit, planning and deployment ensuring the integrity of NVIDIA platform infrastructure. Your primary goal will be to guarantee that all aspects of the data center's physical infrastructure are meticulously planned, implemented, and validated to meet NVIDIA reference architectures, operational requirements, and industry standards. This infrastructure includes architectural systems, power distribution, liquid/air cooling systems, compute, network and cabling (fiber and copper), and telemetry systems. What you will be doing: - NVIS Datacenter Engineering and planning: Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems. - Plan and manage deployment of NVIDIA's pioneering AI infrastructure solutions including highly complex rack-scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment. - Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement. - Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. Provide feedback and recommendations to improve performance, scalability, and cost-effectiveness. - Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams. - Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles. - Quality Assurance: Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks. Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components. - Continuous Improvement: Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations. - Collaboration and Communication: Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions. Serve as a domain expert and point of contact for infrastructure-related inquiries and blocking issues. What we need to see: - Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field. - Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers. - Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments. - Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre-deployment planning - Relevant certification – preferred - Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change. - Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality. - Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions. - Organization & Time Management – able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames. - Willingness to travel (up to 40%). Way to stand out from the crowd: - Linux system administration skills - Strong knowledge of whole data center Infrastructure stack - Flexible/agile and enjoys solving challenging problems NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Solutions Architect, Data Center Infrastructure -...
NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists (NVIS) team. Academic and commercial groups worldwide are using NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world’s largest and fastest AI Factories and supercomputers. This role leads the infrastructure planning, physical deployment, and hardware remediation that drives every cluster to full operational acceptance, spanning power and cooling systems, cabling and network bring-up and validation, and RMA. As the NVIS Solutions Architect for Datacenter Infrastructure, you will focus on data center audit, planning and deployment ensuring the integrity of NVIDIA platform infrastructure. Your primary goal will be to guarantee that all aspects of the data center's physical infrastructure are meticulously planned, implemented, and validated to meet NVIDIA reference architectures, operational requirements, and industry standards. This infrastructure includes architectural systems, power distribution, liquid/air cooling systems, compute, network and cabling (fiber and copper), and telemetry systems. What you will be doing: - NVIS Datacenter Engineering and planning: Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems. - Hardware deployment: Plan and manage deployment of NVIDIA’s pioneering AI infrastructure, including highly complex rack-scale, liquid-cooled compute and networking systems, in a fluid and fast-paced environment. - Pre-deployment planning: Review cluster and data center architecture, plan network port mapping and fiber-optic cabling BOM, identify risks, train and enable vendors, and find areas for improvement. - Design evaluation: Evaluate customer and partner infrastructure design proposals for consistency with industry standards and regulatory requirements; provide feedback and recommendations to improve performance, scalability, and cost-effectiveness. - Hardware & remediation: Lead physical troubleshooting cabling debug, mis-wire correction, power and leak issues and drive clusters from initial bring-up to full operational acceptance, partnering with validation, network, and TAM teams to close out remaining compute-tray and networking issues. - Vendor & partner management: Oversee smarthands, integration, cabling, and OEM partners—manage dispatches, validate work quality, enforce SLAs, and hold partners accountable—scaling deployment and remediation capacity through partners. - Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams. - Quality Assurance: Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks. Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components. - Continuous Improvement: Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability. Build repeatable processes, MOPs, and playbooks (not just follow them); streamline and automate repetitive tasks, and leverage emerging technologies and agentic AI tooling to optimize infrastructure and remediation operations. - Teamwork & communication: Collaborate across internal teams, external vendors, and customers to enable seamless integration of data center infrastructure solutions; serve as a domain expert and point of contact for infrastructure and remediation inquiries and blocking issues. What we need to see: - Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field. - Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers. - Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments, with strong knowledge of the data center stack—power distribution, liquid cooling, servers, networking, storage, structured cabling (fiber and copper), and pre-deployment planning. - Hands-on experience with hardware break/fix and RMA workflows (triage, swap, ship, track, close) and spares/logistics coordination across multiple sites. - Experience building processes and playbooks from scratch, a bias toward action and comfort operating with minimal supervision in ambiguous, fast-paced environments. - Demonstrated technical and project leadership under fluid situations, ability to adapt to unknowns and change. - Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a commitment to quality. - Excellent communication and interpersonal abilities, capable of engaging with various collaborators like customers to enable productive discussions. - Organization & Time Management – able to plan, schedule, and organize tasks related to the job to achieve goals within or ahead of established time frames. - Willingness to travel (up to 40%). Way to stand out from the crowd: - Linux system administration skills - Hands-on liquid-cooling product deployment experience - Familiarity with ICT/shuffle-box configurations and new-generation cabling. - Strong knowledge of whole data center Infrastructure stack - Relevant certification – preferred 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/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Solutions Architect - Autonomous Vehicles
Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. We are looking for solutions architects, who are experts, trusted technical advisors and leaders to our partners and customers, that believe in deep learning, data science, and artificial intelligence will transform autonomous driving. We need individuals who can enable customer productivity, develop positive relationships with our technology partners and collaborate with internal teams to develop the best solutions for partners working on our platform. NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you! What you'll be doing: - Lead vehicle software integration and bring-up activities, collaborating with internal and external partner teams to develop and launch autonomous vehicle solutions. - Drive use case analysis, functional requirements' definition, critical metric definition and testing of ADAS features - Examine and diagnose the key factors driving these metrics, uncover trends, and prioritize engineering initiatives that will most improve the product experience. - Customize, reconfigure and rebuild processing pipelines in the software stack. - Integrate hardware and software components efficiently and build scalable solutions alongside our partners - Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers. What we need to see: - Well-rounded knowledge of how an autonomous vehicle stack—or any similarly complex system—functions, and real-world experience solving the challenges of bringing diverse components together into a scalable solution - 5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies. - BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience). - Excellent C/C++ development skills with good knowledge of Python. - Established proficiency in system performance and complexity evaluation to optimize the system and resolve application issues. - Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and development guided by measurable outcomes. - Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms. - Strong analytical skills, strive for innovative solutions, with outstanding attention to details. Ways to stand out from the crowd: - Familiarity of NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming. - Software development experience on QNX or equivalent RTOS. - Prior experience in application development and familiarity with middleware frameworks and intricate system-level integrations. - Experience as ADAS software engineer at a Tier 1 or OEM - In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Applied Research Intern, NLP - Fall 2026
Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now recruiting top Applied Research Interns to join Nemotron post-training team. Together, we will work on next generation of Nemotron post-training and open-source software such as NeMo-RL. Do you love the challenge of training deep learning models? Do you love the challenge of identifying and optimizing the latest AI algorithms to help us grow into new and more pervasive verticals? If so, then join our team and help us design large deep learning systems for natural language processing! What you'll be doing: - Develop and prototype new algorithms and models for AI model post-training. - Contribute to open-source projects such as NeMo-RL and contribute to the next version of Nemotron models. - Publish your internship project results What we need to see: - Pursuing a MS or PhD degree in Computer Science or Electrical Engineering - Masters students with good publication record will be considered too - Excellent Python programming skills - Strong knowledge in Deep Learning for Natural Language Processing - Experience with PyTorch or JAX - Ability to work independently - Attention to details and ability to manage large sets of experiments Ways to stand out from the crowd: - Contribution to open-source projects. Please include links to your OSS contributions! 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! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until July 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Software Development Engineer in Test - SDE...
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you. We are now looking for a Software QA Development Engineer; you will collaborate with multi-functional groups. SWQA Developer Engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA Engineer can improve productivity or optimize test plan. As a SWQA Developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: - Review product requirements and develop test matrix. - Build test plan, design test case, execute and report test progress, bugs, and results to management. - Automate test cases and assist in the architecture, crafting and implementing of test frameworks. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - In-house repro and verify customer issues/fixes. What we need to see: - BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 5+ years QA experience. - Proficient in Unix/Linux and shell/python programming skills. - Rich experience in test cases development, tests automation in API/UI and failure analysis. - Solid experience with AI development tools, including creating test cases, automating test cases, and ensuring comprehensive code coverage, among other related tasks - Good knowledge and hands-on experience in model testing and LLM benchmarking - Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc. - Excellent communicator, fluent written and verbal English. - Good teamwork with ability to work independently. Passion to learn new hardcore technology. Ways to stand out from the crowd: - Experience working with NVIDIA GPU hardware is a strong plus - Background in deep learning frameworks is a plus - Experience in parallel programming ideally CUDA/OpenCL is a plus
Senior System Software Engineer - Dynamo-Triton In...
We are looking for a Senior System Software Engineer to work on Dynamo-Triton Inference Server . NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users. What you'll be doing: - Develop world-class GPU-accelerated AI inference serving software. - Contribute to feature development and drive broad customer adoption. - Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform. This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads. - Be an active member of the open source deep learning software engineering community . - Balance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimizing and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies. What we need to see: - MS or PhD in Computer Science or relevant field (or equivalent experience). - 5+ years of professional experience working on deep learning software. - Excellent Rust & C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design. - Experience with high-scale distributed systems and ML systems. - Strong communication skills and ability to work in a fast-paced, agile team environment. Ways to stand out from the crowd: - Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. - Knowledge of GPU memory management, cache management, or high-performance networking. - Experience with distributed systems programming. - Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Developer Advocate Engineer - Robotics and...
Physical AI and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and developers actively embrace full-stack optimizations to accelerate their workloads and research. To help them onboard Accelerated Computing, NVIDIA leads a series of hackathons and bootcamps along with its partners. Hackathons are short—typically week-long—intensive coding sessions where experienced mentors team up with groups of researchers and data scientists to guide them in accelerating or optimizing their projects using accelerated infrastructure and enterprise-grade software, across a variety of programming models, frameworks, and tools. We are looking for a Senior Developer Advocate Engineer to own technical engagements for a rapidly growing program of Open Hackathons and Bootcamps focused on the use of AI in Physical AI & Robotics. In this position, you will closely collaborate with developers to help adopt the NVIDIA accelerated computing stack (CPU and GPU technologies) for their work, optimize code and AI workflows, and build a growing community. You will build strategic relationships with our partners, mentor at hackathons, and help craft materials to educate attendees and prepare them for hackathons. Do you have a passion for community-based development, connecting people, and mentoring? If so, we would like to speak with you right away! What you’ll be doing: - Stay abreast of the latest developments in robotics, physical AI, digital twins, and develop proof-of-concept solutions for real-world applications. - Build and refine training materials and mentor team members solving real-world problems using NVIDIA Omniverse, Isaac Sim, Isaac Lab, Cosmos, and related stacks to create simulations, digital twins, and robotics workflows, etc. - Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and additional activities through our hackathon program. - Promote through publishing blogs and papers, facilitating presentations, and using other media that convey the impact of the work accomplished by teams at the hackathons. - Mentor developers and researchers to integrate NVIDIA technology using Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies. - Strategize, identify, and assess potential sites, mentors, and key applications for Open Hackathons and Bootcamps. - Assess each hackathon's computing and software infrastructure. - Write comprehensive internal feedback reports and find opportunities for improvement. What we need to see: - Master's degree in Computer Science, Computer Engineering, or relevant field (or equivalent experience). - 12+ years of relevant enterprise experience in developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment. - Fluent in using the NVIDIA accelerated computing stack for HPC and AI workloads. - Capability to think strategically, while jumping directly into day-to-day event and account management. - Ability to thrive in a highly dynamic environment and to lead change through multi-functional teamwork. - Proven ability to understand partners' goals and distill that feedback into an action plan that addresses core needs. - Excellent verbal, written, and interpersonal communication skills. Ways to stand out from the crowd: - Experience in deploying and managing data center-scale applications with Omniverse, Cosmos, or embodied AI toolchains. - Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure. - Experience in facilitating and instructing at group training events. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Director, Carline Program Management - Autonomous...
Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for a Director of Carline Program Management to join our NVIDIA DRIVE AV team to define and develop products to grow our Autonomous Vehicles business. As a Carline PM Director, you will build and lead a team to mold NVIDIA innovative autonomous vehicles' technology into AV products. You will partner with engineering, product, system, and validation teams to bring next-generation driving intelligence from concept to production. Ideal for problem-solvers who excel at integrating software, hardware, and vehicle systems in fast-paced environments. What you will be doing: Lead the full lifecycle of an autonomous driving carline program, specialized in L4 Robotaxi productization, from feature definition and platform planning to vehicle-specific adaptation, prototype integration, validation, and mass-production readiness. Setting the execution plan for the carline PM team as well as coordinating for rest of relevant teams, maximizing your deep understanding of customer needs, knowledge of the AV industry, and out-of-the-box thinking. Lead a team to drive all aspects of product planning including data collection, ML ops, Data ops, in car test, KPIs iteration, and customer management Drive issue resolution across software, hardware, vehicle, validation, and customer-facing work streams using structured, data-driven decision-making. Continuously improve execution processes to increase development speed, integration efficiency, release quality, and delivery reliability. Communicate continuously with customers, understanding their evolving needs to ensure product competitiveness and translate that into product roadmap to drive execution with cross-functional teams. What we need to see: BS/MS (or equivalent experience) in engineering with 15+ overall years of experience in both software and hardware platforms. 8+ years of leadership experience. You are a Self-starter, with a 'can-do' attitude in a multifaceted environment. Experience working in a software development environment Track record of leading the launch of technically complex products to customers, especially scaled L4 Robotaxi programs Strong technical leadership and communication skills, with the ability to drive alignment across large organizations and with customers Ways to stand out from the crowd: Background in autonomous vehicles, Driver Assist technology, and/or machine learning Exposure leading development of ADAS functions/products Experience with customer management & interaction #AutonomousVehicles Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 425,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Software Engineer, Low Latency Physical AI...
At NVIDIA, we’re redefining how machines perceive and interact with the world. The Holoscan Sensor Bridge (HSB) is at the heart of this transformation—streaming massive volumes of sensor data (cameras, radar, RF, medical devices) directly into GPU memory with low latency to enable real-time AI. Modern AI is no longer just about models — it's about getting real-world data into those models fast enough to matter. Holoscan Sensor Bridge enables real-time signal processing with microsecond-level latency, direct streaming of sensor data into GPU memory, and scalable, software-defined sensor integration across industries. Your work will directly shape the future of surgical robotics, autonomous systems, industrial automation, and next-generation scientific instrumentation. This is where cutting-edge hardware meets real-world impact at scale. We’re looking for a Senior Systems Software Engineer to help architect and scale the software backbone that connects the physical world to accelerated computing.This is not just a systems role—this is where hardware, networking, and GPU computing converge to power the next generation of robotics, healthcare devices, and industrial AI systems. What you'll be doing: - Design and build high-performance, low-latency data pipelines from sensors to GPU memory (RDMA, Ethernet, GPUDirect) - Develop and optimize system software, drivers, and APIs for sensor integration and streaming - Work across the stack—from FPGA interfaces and networking protocols to CUDA and application frameworks - Enable seamless integration of diverse sensors into the Holoscan ecosystem - Debug and optimize real-time distributed systems under strict latency and throughput constraints - Collaborate with hardware, firmware, and AI teams to deliver end-to-end solutions and Contribute to a platform that reduces sensor integration complexity by orders of magnitude What we need to see: - A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience. - 8+ years of experience in systems programming (C/C++/Python) and Linux internals - Deep understanding of networking (TCP/UDP, RDMA, kernel bypass, high-throughput systems) - Experience with real-time operating systems or low-latency systems - Familiarity with hardware/software interfaces (PCIe, DMA, FPGA, SPI, I2C, I2S) - Solid debugging skills across complex, multi-component systems - Experience working close to hardware and performance bottleneck - Solid understanding and hands-on experience with AI coding tools such as Claude, Codex and Cursor, including automating software development lifecycle activities. Ways to stand out from the crowd: - Experience with CUDA / GPU programming - Knowledge of sensor pipelines (camera, radar, RF, medical imaging, IMU sensors) - Exposure to distributed systems or edge computing platforms - Background in robotics, healthcare devices, or high-speed data acquisition - Familiarity with agentic AI tooling, and experience applying multi-agent systems to engineering workflows 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 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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Principal Engineer, AI Tooling and Workflows
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. NVIDIA's Infrastructure, Planning and Process (IPP) Team is seeking a Principal Software Engineer to lead the next generation of AI-powered engineering platforms. In this role, you will define and build agentic AI systems, developer productivity platforms, and intelligent workflow automation that accelerate software delivery across NVIDIA's engineering organization. Your work will help thousands of engineers move faster and improve quality and will also reduce manual overhead for various workflows. This is a high-impact role for a technology lead who can operate across strategy, architecture, execution, and influence! What you will be doing: - Lead the technical vision, architecture, and execution for AI-native developer tooling and workflow automation platforms used across NVIDIA engineering. - Invent and develop production-grade autonomous AI systems that can reason over engineering workflows - code, documentation, CI/CD pipelines. - Drive the evolution of AI-assisted processes in software development, including code understanding, requirements traceability, validation, tests, build and release automation, security review. - Define platform-level standards for reliability, evaluation, observability, safety, security, latency, cost efficiency, and human-in-the-loop controls for LLM-powered systems. - Partner with engineering leaders, teams across products, infrastructure, security, and research to identify high-leverage opportunities and deliver solutions with broad impact. - Influence technical direction across multiple teams by setting architecture patterns, reviewing designs, raising engineering standards, and mentoring senior engineers. What we need to see: - PhD or MS or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience . - 15+ years of software engineering experience. - Experience in large-scale platforms, distributed systems, AI systems, or developer infrastructure used by demanding engineering teams. - Deep hands-on expertise with LLM applications, agentic workflows, RAG, embeddings, vector search, tool use, prompt engineering, model evaluation, and AI system safety. - Exceptional architecture judgment across APIs, services, data pipelines, Kubernetes, observability, reliability engineering, security, and production operations. - Strong coding ability in Python and at least one major production language such as C++, Go or Rust, with the judgment to build simple systems that scale. - Technical leadership at Principal level: setting direction, aligning collaborators, guiding senior engineers, and raising the engineering bar across boundaries. Ways to stand out from the crowd: - Built AI tools, copilots, or autonomous agents that materially changed how large engineering organizations build, validate, or operate software. - Understanding of the full stack of enterprise AI systems: MCPs, tool-using agents, skills, retrieval, knowledge graphs, fine-tuning, model serving, evaluation, governance. - Optimizations in AI platforms for real-world scale, including latency, throughput, cost, GPU acceleration, TensorRT, Triton, quantization, batching, caching, or model routing. - Domain depth in GPU computing, drivers, compilers, embedded systems, robotics, autonomous vehicles, or other hardware-software environments. - Spotting step-function productivity opportunities and turning them into efficient platforms that engineers love and leaders trust 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/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Solutions Architect - AI Infrastructure
NVIDIA is building the world’s most groundbreaking and innovative accelerated computing platforms for AI and HPC. Because of our work, scientists, researchers, and engineers can push the boundaries of what’s possible. We pioneered a supercharged form of computing that powers everything from breakthrough AI research to the world’s fastest supercomputers. We are seeking a highly motivated Senior Solutions Architect to join the NVIDIA Cloud Partners team with a focus on GPU, NVLink, and infrastructure design. In this role, you will be at the forefront of assisting with designs and architectures for some for the largest next-generation GPU-based clusters enabling the world’s most advanced AI supercomputers and enterprise AI infrastructure in the field. As a Solutions Architect, you will serve as a key technical expert bridging NVIDIA’s ground breaking GPU and NVLink technology designs as well as all of our software solutions directly between engineering and field teams supporting customers with the most demanding requirements. You will work on end-to-end cluster design and architecture, performance modeling, validation, and NPI cluster deployments. Your expertise will directly influence how the world’s leading AI companies, cloud providers, hyperscalers, research institutions, and enterprises build their infrastructure. What you’ll be doing: - Partner with NVIDIA Cloud Partners in GPU cluster design and networking and convey architecture and optimal process information for building next-generation architectures. - Guide NVIDIA Cloud Partners in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible. - Work closely with NVIDIA Cloud Partners to ensure successful first deployments with new products, including new network architectures and topologies. - Feedback customer/field perspectives on cluster design and workflows back to engineering teams designing internal clusters. - Perform hands-on work to assist NVIDIA Cloud Partners debugging issues relating to cluster design, configuration, and performance employing internal engineering expertise and known bugs. - Support NPI customer deployments with new GPU/Networking architectures. What we need to see: - BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience). - 8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters. - Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure. - Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material. - Expertise in driving customer/partner issues to a close with product and engineering teams. - Ability to handle multi-functional communications across customer, product team, support team, engineering team, etc. Ways to stand out from the crowd: - Experience leading large-scale AI Factory or HPC cluster bring-ups or builds. - Hands-on experience with NVIDIA products including, but not limited to, GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink, etc. - Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs. - External customer facing skill-set and background. - Effective time management and capability to balance multiple tasks and customers while thinking creatively to debug and solve problems . Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior CUDA Test Development Software Engineer, SD...
NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. We are well positioned as the “AI Computing Company”, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. We are CUDA Test Development team, responsible for all aspects of quality assurance, including regression testing, release testing, test automation, and test development. We ensure the highest quality standards for every CUDA product. We are now seeking a highly skilled and motivated Senior CUDA Test Development Software Engineer . What you will be doing: - Design and implement functional/performance tests for CUDA products, like driver and library. - Automate CUDA tests, design test plans and integrate into automation testing infrastructure. - Triage test results, root cause test failures or performance drops, and drive through bugs to fix. - Develop scripts/tools and optimize workflow to improve efficiency and productivity. What we need to see: - MS or PhD degree from a leading university in computer science or a related field. - At least 3 years of relevant professional experience. - Excellent QA sense, knowledge, and experience in software testing. - Rich experience in test case development, tests automation and failure analysis. - Proficient programming and debugging skills in C++ and Python. - Comprehensive knowledge of Linux and Windows operating systems. - Developer background who has experience of using AI tools to automate and develop test cases, fix product bugs, develop QA end-to-end workflow. Ways to stand out from the crowd: - Excellent English communication and collaboration skills. - Deep understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.
Senior AI Agent Test Developer, SDET
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. What you’ll be doing: - Use and develop AI-powered tools to make software testing smarter, faster, and more effective! - Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. - Work with product, engineering, and cross-functional teams to review requirements and define test strategies. - Build test plans, design and execute test cases, and report quality status, risks, bugs, and results. - Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems. - Automate test cases and contribute to scalable test frameworks. - Manage the bug lifecycle, reproduce customer issues, and verify fixes. What we need to see: - MS or PhD in Computer Science, Engineering, or a related field. - 5+ years of QA, test automation, or software testing experience. - Hands-on experience using AI tools to improve QA workflows. - Strong QA fundamentals, test strategy, test planning, and failure analysis skills. - Proficiency with Unix/Linux and shell or Python programming. - Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems. - Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms. - Experience with large-scale failure testing, using tools such as KWOK, Chaos Monkey, or similar frameworks. - Strong communication, problem-solving skills, and curiosity for complex technology Ways to stand out from the crowd: - Used AI to reduce testing time, improve defect detection, or increase test coverage. - Built AI-driven solutions that streamlined QA workflows or reduced manual effort. - Experience with SaaS or PaaS testing. - Experience with NVIDIA GPU hardware or GPU-accelerated software. We are an equal opportunity employer and welcome applicants from all backgrounds. We provide reasonable accommodations for qualified individuals throughout the application and hiring process.
Senior AI Agent Test Developer, SDET
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. What you’ll be doing: - Use and develop AI-powered tools to make software testing smarter, faster, and more effective! - Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. - Work with product, engineering, and cross-functional teams to review requirements and define test strategies. - Build test plans, design and execute test cases, and report quality status, risks, bugs, and results. - Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems. - Automate test cases and contribute to scalable test frameworks. - Manage the bug lifecycle, reproduce customer issues, and verify fixes. What we need to see: - MS or PhD in Computer Science, Engineering, or a related field. - 5+ years of QA, test automation, or software testing experience. - Hands-on experience using AI tools to improve QA workflows. - Strong QA fundamentals, test strategy, test planning, and failure analysis skills. - Proficiency with Unix/Linux and shell or Python programming. - Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems. - Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms. - Experience with large-scale failure testing, using tools such as KWOK, Chaos Monkey, or similar frameworks. - Strong communication, problem-solving skills, and curiosity for complex technology Ways to stand out from the crowd: - Used AI to reduce testing time, improve defect detection, or increase test coverage. - Built AI-driven solutions that streamlined QA workflows or reduced manual effort. - Experience with SaaS or PaaS testing. - Experience with NVIDIA GPU hardware or GPU-accelerated software. We are an equal opportunity employer and welcome applicants from all backgrounds. We provide reasonable accommodations for qualified individuals throughout the application and hiring process.
Senior Deep Learning Test Development Engineer, SD...
We are looking for a Software Test development engineer in NVIDIA’s Deep Learning SWQA team. The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: - Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. - Plan/design/execute/report/automate test plan/test case/test reports. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - Automate test cases and assist in the architecture, crafting and implementing of test frameworks. - In-house repro and verify customer issues/fixes. - Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance. What we need to see: - BS or higher degree in CS/EE/CE or equivalent experience. - 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills. - Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience. - Good C/C++ software development, DevOps or test development experience. - Good user/development experiences of virtualization like VM & Docker container. - Excellent English written and oral communication skills. - Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules. - Experience with AI Agents/tools. Ways to stand out from the crowd: - Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc). - Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning. - Experience in VectorCAST, Bullseye, Gcov, or Coverity tools. - Automation experience. - Experience with DL/LLM inference frameworks (TRT, TRT-LLM, Edge-LLM, vLLM, SGLang, etc.) and familiar with running various AI workloads, proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.
Senior CUDA Test Development Software Engineer, SD...
NVIDIA is the world leader in GPU Computing. We are passionate about markets including Data centers, Gaming, Professional vision, Automotive, HPC and networking. We are well positioned as the “AI Computing Company”, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. We are the CUDA Test Development team, responsible for all aspects of quality assurance, including regression testing, release testing, test automation, and test development. We ensure the highest quality standards for every CUDA product. What you will be doing: - Design and implement functional/performance tests for CUDA products, like driver and library. - Automate CUDA tests, design test plans and integrate into automation testing infrastructure. - Triage test results, root cause test failures or performance drops, and drive through bugs to fix. - Develop scripts/tools and optimize workflow to improve efficiency and productivity. What we need to see: - MS or PhD degree from a leading university in computer science or a related field. - At least 3 years of relevant professional experience. - Excellent QA sense, knowledge, and experience in software testing. - Rich experience in test case development, tests automation and failure analysis. - Proficient programming and debugging skills in C/C++ and Python. - Comprehensive knowledge of Linux and Windows operating systems. - Experience in using AI development tools for test plans creation, test cases development and test cases automation. Ways to stand out from the crowd: - Excellent English communication and collaboration skills. - Strong understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.
Developer Relations Manager, cuOpt and Graph Optim...
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with China industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals. Roles will include being a technical business development and accelerated computing platform evangelist to researcher and developer communities. This includes understanding the community requirements, analyzing the technical requests, integrating new or expanding existing solutions, co-architecting and advising on repeatable solutions, jointly scope project requirements for AI4S, GAI, Agentic AI, Physical AI, and understand integrations with the ecosystem, and private/hybrid platforms, etc. Specially, this opening position is for DataBase and Data Processing developer community support. What you'll be doing: - Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects. - Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers. - Deep understanding of database systems and data processing technologies, including cuOpt & graph optimization which are rapidly gaining traction as a GPU-accelerated optimization engine for LP, MILP and VRP workloads along with their associated software ecosystems, performance acceleration techniques, and AI-driven approaches. - Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. - Drive early adoption of new products and support launch and go-to-market activities. - Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities. - We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful. What we need to see: - BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience). - 6+ years of work-related experience on cuOpt, graph optimization, LP, MILP and VRP and GPU-accelerated optimization algorithms . - Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers. - Strong analytical and problem-solving skills, with deep empathy for developers. - Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences. - Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders. - Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI. - Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities Ways to stand out from the crowd: - Strong cuOpt, graph optimization, LP, MILP and VRP and GPU-accelerated optimization algorithms technical background. - Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks. - Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques. - Hands-on Experience in enabling industry solutions for optimization scena rios covering logistics, supply chain, intelligent manufacturing, energy and transportation. - Experience and empathy for software engineering and application development. 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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
Developer Relations Manager - Al Algorithms, Bench...
At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with China industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals. Roles will include being a technical business development and accelerated computing platform evangelist to researcher and developer communities. This includes understanding the community requirements, analyzing the technical requests, integrating new or expanding existing solutions, co-architecting and advising on repeatable solutions, jointly scope project requirements for AI4S, GAI, Agentic AI, Physical AI, and understand integrations with the ecosystem, and private/hybrid platforms, etc. Specially, this opening position is for AI algorithms, datasets, and benchmarks developer community support. What you'll be doing: - Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects. - Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers. - Deep understanding of AI algorithms, datasets, and benchmarks, including reinforcement learning for post-training; familiarity with widely used datasets, benchmarks, and leaderboard communities across both general and vertical domains; as well as the associated software ecosystems, performance acceleratio n techniques, and AI-driven methodologies. - Discover new workflows, identify blockers to ISV adoption, and report back to the product teams. - Drive early adoption of new products and support launch and go-to-market activities. - Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities. - We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful. What we need to see: - BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience). - 4+ years of work-related experience ( AI algorithms, datasets, and benchmarks especially) in technical leadership role and architecting GPU accelerated computing solutions. - Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers. - Strong analytical and problem-solving skills, with deep empathy for developers. - Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences. - Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders. - Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI. - Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities Ways to stand out from the crowd: - Strong technical background in AI algorithms, datasets, and benchmarking, with particular expertise in reinforcement learning for post-training; deep familiarity with widely used datasets, benchmarks, and leaderboard ecosystems across both general and vertical domains. - Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks. - Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques. - Hands-on Experience in enabling industry solutions for optimization scenarios covering logistics, supply chain, intelligent manufacturing, energy and transportation. - Experience and empathy for software engineering and application development. 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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to encouraging 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.
Senior Software Engineer, RL Post-Training Framewo...
Reinforcement learning post-training is driving some of the most significant capability gains in AI today. It is the process that teaches a model to reason through hard problems, follow complex instructions, and act as an autonomous agent. It is also one of the hardest infrastructure challenges in the field. RL requires inference, rollout generation, and training running in a continuous loop. The rollout step is what makes it hard: the model must interact with environments, tools, and other models to produce the signal that drives learning. Coordinating actor, critic, and reward models across heterogeneous hardware at scale pushes the limits of what distributed systems can do. NVIDIA is building an RL Frameworks engineering team to develop the open-source tools and infrastructure that AI researchers and post-training teams depend on. The team spans the full software stack, from collaborating closely with the researchers and labs pushing the frontier, to contributing to RL frameworks like VeRL , Miles , and TorchTitan , to improving the distributed runtimes they depend on, including Ray and Monarch . Whether your strength is working with researchers to understand and address their need optimizing deep learning frameworks, or building distributed infrastructure, we want to hear from you. Come join us to build the systems that enable the next generation of AI. What you will be doing: You will architect and build RL post-training infrastructure that scales efficiently from experimentation on a single GPU to production across thousands of nodes. This means tuning RL training-inference-rollout loops on GPUs, CPUs, and LPUs for performance where it matters, contributing to and improving the performance and usability of open-source RL frameworks, and partnering with the teams who own them. The role also spans fault tolerance, elastic scaling, and fast restarts so long-running distributed training jobs survive failures, stragglers, and resource contention. Beyond GPU-accelerated training, this work includes partnering with teams building CPU-driven rollout workloads, including tool-use, code execution, and agentic environments, supplying the systems and framework engineering needed to run them efficiently alongside GPU- or LPU-accelerated generation and GPU-accelerated training. It also means advocating for researcher and partner needs with NVIDIA's networking, math library, and compiler teams so the capabilities RL workloads require get prioritized and delivered, and working with hardware teams to take advantage of next-generation hardware capabilities in post-training workloads. What we need to see: - MS or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience) - 5+ years of professional experience in distributed systems, high-performance computing, deep learning infrastructure, or ML systems engineering - Strong proficiency in Python and C/C++ - Demonstrated experience building or contributing to large-scale distributed systems or runtime frameworks in production at a frontier AI lab, hyperscaler, or major technology company - Strong verbal and written communication skills and the ability to collaborate across organizational and geographic boundaries Depth in one or more of the following technical areas: - Reinforcement learning for LLM post-training (RLHF, PPO, GRPO, DPO, reward modeling), including how algorithms map to distributed execution and the systems challenges they create (heterogeneous placement, rollouts, environment execution, resharding between training and generation) - PyTorch internals, including distributed training primitives (FSDP, tensor parallelism, pipeline parallelism) and their composition - Kubernetes runtime internals (container lifecycle, pod scheduling, resource quotas, GPU allocation) - End-to-end distributed systems design (service boundaries, data flows, consistency models, failure modes, recovery approaches) Experience in any of the following areas is a plus: - Deep expertise in networking (NCCL, NVLink, InfiniBand), advanced multi-dimensional parallelisms (Megatron-LM, FSDP2, TP/DP/PP, MoE), or memory optimizations (quantization-aware training, mixed precision) - Experience integrating high-performance inference engines (vLLM, SGLang, TensorRT-LLM) into RL training loops for GPU-accelerated rollout - Strong background in actor- and task-based distributed programming (Ray, Monarch, or comparable systems) - Familiarity with multi-turn training, multi-agent co-evolution, or VLM post-training Ways to stand out from the crowd: - Open-source contributions to RL post-training or distributed training projects (e.g., VeRL, Miles, TorchTitan, OpenRLHF, NeMo-Aligner, DeepSpeed-Chat), including significant work on framework internals where applicable - Kubernetes work beyond routine operations (custom operators, GPU device plugins, or scheduling contributions) - Direct experience operating frontier-scale training (RL post-training at thousands of GPUs and/or large-scale LLM or multimodal pre-training) - Hands-on experience with production distributed failures at scale (stragglers, resource contention, hardware faults) 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/
Senior Product Manager, AI Frameworks
At NVIDIA we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust eco-system of other OSS frameworks. As a Product Manager for AI Platform post training, you will be responsible for building products for enabling post training and RL at scale on NVIDIA GPU and CPU systems As NVIDIA Product Managers, our goal is to enable researchers and operators to be successful on the NVIDIA Platform, and push the boundaries of what is possible in their research and research-to-production! Post training is a de facto workflow amongst our customers and partners. Post training and RL are no longer single system workloads and require distributed systems to work reliably at scale. This product manager enables this workflow by focusing on training, generation, sandboxing. As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale for current and emerging modeling paradigms on GPUs. We work directly with customers to identify key improvements, create roadmaps, and stay alert on the training/post training landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing great products for our users. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great. Does that sounds familiar? If so, we would love to hear from you! What you'll be doing: - Create and optimize pre-training/inference and post-training frameworks for researchers and production model builders - Develop product strategy, roadmaps, and go-to-market plans - Collaborate with internal and external customers to build product-based roadmaps for the E2E ML lifecycle - Work with leadership to align with and drive company strategy What we need to see: - Experience with design and scaling of training/inference post training and optimization software (Torchtitan, FSDP) - Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, inference, and software development and delivery - Experience with large scale distributed systems - BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience) - 10+ years of technical product management, or similar, experience at a technology company - Strong communication and interpersonal skills Ways to Stand Out from the crowd: - Background with leading OSS RL Frameworks like VeRL - Experience with orchestration and reliability at scale - Working on Open Source & Github-first developer products with deep customer interactions - Knowledge of GPU architecture, HW/SW co-design, and performance profiling Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior GPU Architect, Deep Learning
We are now looking for a Senior GPU Architect, Deep Learning! The NVIDIA GPU Architecture group is looking for a world class hardware architect to help define and drive future GPU architectures for deep learning and accelerated computing. In this role, you will work at the earliest stages of product definition, with primary focus on defining architectural features for future GPUs, while also contributing to relevant microarchitectural direction and tradeoffs. You will help drive new capabilities from concept through modeling, design collaboration, validation, and silicon readiness. A key part of NVIDIA’s strength is our ability to translate workload insight into differentiated hardware. We are constantly looking for ways to improve our GPU architecture for training and inference workloads while advancing performance, efficiency, scalability, and programmability. In this position, you will focus primarily on defining new architectural features, while also shaping the supporting microarchitectural direction, evaluating design alternatives, and partnering closely with ASIC design, verification, performance, and software teams to bring new capabilities into future products. What you'll be doing: - Define and architect new GPU hardware features for future deep learning and parallel processing workloads. - Drive microarchitectural exploration across key areas such as compute pipelines, memory hierarchy, data movement, synchronization, and performance efficiency. - Analyze workload behavior and translate bottlenecks into clear architectural requirements and hardware feature proposals. - Evaluate performance, power, area, complexity, and programmability tradeoffs for new architectural directions. - Develop and use functional and performance models to study new features and refine the architecture before implementation. - Work closely with RTL, design, verification, compiler, and software teams to ensure successful execution from architecture definition to productization. - Create clear architecture specifications, validation plans, and success criteria for the features you define. - Be ready to learn, dig deep, and work across the full stack when required - from workloads and models to RTL and silicon. What we need to see: - BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience. - 12+ years of relevant industry experience in GPU architecture, computer architecture, or other parallel processing architectures. - Strong background in hardware architecture and microarchitecture. - Experience defining and evaluating architectural features with solid understanding of performance, power, and area tradeoffs. - Strong programming and scripting skills in C, C++, and Python. - Experience with architectural modeling, simulation, or performance analysis. - Background in parallel computing, memory systems, high performance computing, or deep learning acceleration. - Strong communication skills and the ability to drive technical work across distributed, interdisciplinary teams. Ways to stand out from the crowd: - Deep understanding of modern GPU architecture and the interaction between hardware and AI workloads. - Experience with memory subsystem architecture, interconnects, coherence, scheduling, or execution pipelines. - Experience with pre-silicon performance studies, workload characterization, and architectural correlation. - Familiarity with training and inference behavior for large-scale deep learning models. - Experience with silicon bring-up, debug, or post-silicon analysis. 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 love a challenge, consider joining our GPU Architecture team and help us build the next generation of AI computing platforms.
Principal Perception Engineer, Obstacle Foundation...
Intelligent machines powered by artificial intelligence—computers that can learn, reason, and interact with people—are transforming every industry. GPU-accelerated deep learning provides the foundation for machines to perceive, reason, and solve complex problems. NVIDIA GPUs run deep learning algorithms that simulate aspects of human intelligence, acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We are seeking an exceptional Principal Perception Engineer to lead the design and productization of NVIDIA’s next-generation autonomous driving perception stack. This is a senior individual contributor role with broad technical leadership. You will set the technical direction for 3D obstacle perception, drive cross-functional execution, and mentor other engineers, while remaining deeply hands-on with architecture, algorithms, and implementation, including modern transformer-based, multi-modal, and vision-language techniques where they add real value. What you’ll be doing: - Own the technical vision, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art CNN and transformer-based architectures where appropriate. - Design and develop advanced 3D perception models using multi-camera inputs and/or multi-sensor fusion (camera, radar, lidar) for obstacle detection and tracking, including opportunities to explore BEV and transformer-based 3D perception. - Lead the development of efficient, production-grade deep learning models: define objectives, select architectures, guide experimentation, and establish best practices for training and evaluation, using techniques such as large-scale pretraining, distillation, and parameter-efficient fine-tuning (e.g., LoRA). - Define and drive KPI frameworks to quantify perception performance; analyze large-scale real and synthetic datasets to identify failure modes and systematically improve accuracy, robustness, and efficiency, incorporating modern approaches like self-supervised and representation learning when beneficial. - Lead data strategy for perception: specify data and labeling requirements, prioritize data collection and annotation, and collaborate closely with data and ground-truth teams to maximize impact, including model-assisted workflows (e.g., active learning, auto-labeling, VLMs) and advanced model-in-the-loop tooling. - Partner with safety, systems, and software teams to ensure perception solutions meet stringent product requirements for safety, latency, resource usage, and software robustness, and are ready for deployment at scale. - Provide technical leadership and mentorship to other engineers, influencing design and implementation across the broader perception and autonomy teams. What we need to see: - 15+ years of hands-on experience developing deep learning–based perception or closely related systems for complex real-world problems, with strong proficiency in frameworks such as PyTorch and a track record of taking models from prototype to production. - Demonstrated technical leadership as a senior or principal-level individual contributor: owning features or subsystems end-to-end, setting technical direction, making architectural decisions, and coordinating across teams. - Proven experience in data-driven development, including close collaboration with data, labeling, and ground-truth teams on data strategy, labeling quality, and iterative model improvement. - Strong programming skills in Python and/or C++, with a history of building reliable, high-performance, production-quality software. - Excellent communication and collaboration skills, with the ability to influence, align, and drive consensus across multidisciplinary teams. - BS/MS/PhD in Computer Science, Electrical Engineering, or related fields (or equivalent experience). Ways to stand out from the crowd: - Proven track record leading the design and deployment of perception solutions for autonomous driving or robotics using camera-based deep learning at scale. - Hands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and experience with modern architectures such as CNNs and transformers, plus familiarity with techniques like large-scale pretraining, parameter-efficient fine-tuning (e.g., LoRA), or vision-language models (VLMs). - Strong publication record or recognized contributions in deep learning, computer vision, or autonomous systems at leading conferences/journals (e.g., CVPR, ICCV, NeurIPS, IROS). - Deep understanding of 3D computer vision fundamentals, including camera modeling and calibration (intrinsic and extrinsic), multi-view geometry, and 3D representations, ideally with experience applying these concepts in transformer-based 3D or BEV perception pipelines. - Experience with CUDA development and optimizing training or inference pipelines through custom CUDA kernels or other GPU-accelerated components. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Solutions Architect - AI Infrastructure
NVIDIA is building the world’s most groundbreaking and innovative accelerated computing platforms for AI and HPC. Because of our work, scientists, researchers, and engineers can push the boundaries of what’s possible. We pioneered a supercharged form of computing that powers everything from breakthrough AI research to the world’s fastest supercomputers. We are seeking a highly motivated Senior Solutions Architect to join the NVIDIA Cloud Partners team with a focus on GPU, NVLink, and infrastructure design. In this role, you will be at the forefront of assisting with designs and architectures for some for the largest next-generation GPU-based clusters enabling the world’s most advanced AI supercomputers and enterprise AI infrastructure in the field. As a Solutions Architect, you will serve as a key technical expert bridging NVIDIA’s ground breaking GPU and NVLink technology designs as well as all of our software solutions directly between engineering and field teams supporting customers with the most demanding requirements. You will work on end-to-end cluster design and architecture, performance modeling, validation, and NPI cluster deployments. Your expertise will directly influence how the world’s leading AI companies, cloud providers, hyperscalers, research institutions, and enterprises build their infrastructure. What you’ll be doing: - Partner with NVIDIA Cloud Partners in GPU cluster design and networking and convey architecture and optimal process information for building next-generation architectures. - Guide NVIDIA Cloud Partners in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible. - Work closely with NVIDIA Cloud Partners to ensure successful first deployments with new products, including new network architectures and topologies. - Feedback customer/field perspectives on cluster design and workflows back to engineering teams designing internal clusters. - Perform hands-on work to assist NVIDIA Cloud Partners debugging issues relating to cluster design, configuration, and performance employing internal engineering expertise and known bugs. - Support NPI customer deployments with new GPU/Networking architectures. What we need to see: - BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience). - 8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters. - Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure. - Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material. - Expertise in driving customer/partner issues to a close with product and engineering teams. - Ability to handle multi-functional communications across customer, product team, support team, engineering team, etc. Ways to stand out from the crowd: - Experience leading large-scale AI Factory or HPC cluster bring-ups or builds. - Hands-on experience with NVIDIA products including, but not limited to, GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink, etc. - Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs. - External customer facing skill-set and background. - Effective time management and capability to balance multiple tasks and customers while thinking creatively to debug and solve problems . Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Field Application Engineer - AI Factory Dep...
We are now looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry. NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers. What you’ll be doing: - Provide onsite support for large datacenter deployments of NVIDIA AI solutions. - Solving complex hardware and deployment issues - Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions. - Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts. - Identify customer architectures and key product requirements in the enterprise AI market. - Provide technical and sales training to the direct sales team and channel partners. - Establish positive relationships and communication channels with internal teams. What we need to see: - BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). - 5+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role. - In-depth knowledge of servers, storage systems, network devices, and other data center hardware - Capable of working in a constantly evolving environment without losing focus. - Ability to multitask optimally in a multifaceted environment. - Expert analytical and problem-solving skills. - Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects. - Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering. Ways to stand out from the crowd: - Experience with large-scale rollouts of datacenter equipment. - Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc. - Embedded Linux System, APIs, and similar embedded OS knowledge. - Experience working with OEMs in the industrial, military, and ruggedized computing space. - Knowledge of HVAC and cooling systems for thermal management, power distribution, cabling, and rack layout as well as CPU Architecture knowledge Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Solutions Architect, AI Factory Infrastructure
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. We seek a Solutions Architect to join our focused and hardworking AI Factory infrastructure deployment team. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution. What you'll be doing: - Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers. - Be a technical specialist on NVIDIA products, directly supporting sales account managers to secure build wins. - Actively establish and cultivate technical relationships with engineers, management, and architects at key customer accounts. - Provide on-site support to solve hardware and software problems, with a focus on deep learning inference. - Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction. - Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site. - Offer technical and sales training to direct sales teams and channel partners. - The expected travel requirement is approximately 25-30%. What we need to see: - BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). - 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM). - 5+ years of working experience with Kubernetes, Slurm, Docker, etc. - Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus. - Remarkable talent for effectively handling multiple initiatives and priorities. - Strong time-management and communication skills for coordinating complex projects. - Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Ways to stand out from the crowd: - This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure. - Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control). - Practical knowledge of NVIDIA systems technology, such as DGX, NVL72, MGX and HGX systems, is a huge plus. - Experience working with OEMs in industrial, military, and ruggedized computing spaces. - Understanding of DC power / cooling and rack placements. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
SWQA Test Developer, SDET
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you. We are now looking for a Software QA Development Engineer; you will collaborate with multi-functional groups. SWQA Developer Engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA Engineer can improve productivity or optimize test plan. As a SWQA Developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: - Review product requirements and develop test matrix. - Build test plan, design test case, execute and report test progress, bugs, and results to management. - Automate test cases and assist in the architecture, crafting and implementing of test frameworks. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - In-house repro and verify customer issues/fixes. What we need to see: - BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 2+ years QA experience. - Proficient in Unix/Linux and shell/python programming skills. - Rich experience in test cases development, tests automation in API/UI and failure analysis. - Solid experience with AI development tools, including creating test cases, automating test cases, and ensuring comprehensive code coverage, among other related tasks - Good knowledge and hands-on experience in model testing and LLM benchmarking - Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc. - Excellent communicator, fluent written and verbal English. - Good teamwork with ability to work independently. - Passion to learn new hardcore technology. Ways to stand out from the crowd: - Experience working with NVIDIA GPU hardware is a strong plus - Background in deep learning frameworks is a plus - Experience in parallel programming ideally CUDA/OpenCL is a plus
Senior Deep Learning Test Development Engineer, SD...
We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: - Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. - Plan/design/execute/report/automate test plan/test case/test reports. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - Automate test cases and assist in the architecture, implementing/enabling test for CI/CD . - In-house repro and verify customer issues/fixes. What we need to see: - M aster or higher degree in computer science or similar . - 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills. - UNIX/Linux administrator and troubleshooting experience - Good Python software development or test development skillset. Be familiar with python CI/CD pipeline development - Direct development experience in AI tools/products or using AI for major features - Good user/development experience of virtualization like VM & Docker container & k8s & Slurm - Excellent English written and oral communication skills. - Microcontroller programming / developing backgroud - Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation. Ways to stand out from the crowd: - Experience in using AI to automate/ implement QA end-to-end workflow - Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.). - Understanding and working knowledge with Deep Learning large scale training backend like Pytorch, Nemotron and Inference backend like vLLM, SGLang. - Has working knowledge of RL Post Training 3P-OSS like VeRL, MILES - Working knowledge of CUDA libraries for Deep Learning like cuDNN and TRT-LLM
Senior DFT Engineer
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA’s DFX team is looking for an exceptional DFT Engineer to help shape the future of compute. As stewards of the entire Scan Test Lifecycle, we drive innovation for the most advanced silicon in the world—spanning 2.5D/3D AI data center platforms, Gaming and Enterprise GPUs, and complex SOCs powering Autonomous Machines, Robotics, and Industrial systems. You will innovate at scale, designing and prototyping breakthrough Test Architectures for reticle sized, multi-chiplet products—from RTL to verification to post-silicon ATE bring-up. Join a globally recognized team that consistently delivers breakthrough performance across multiple high-impact tape-outs each year. What you'll be doing: - Develop and deploy Industry-leading test methodologies on NVIDIA’s next-generation silicon platforms. - Collaborate with leading EDA vendors to shape tool capabilities that meet NVIDIA’s ambitious design goals, and partner with internal CAD teams to drive scalable, automated solutions. - Co-architect novel DFT strategies alongside VLSI and Product Engineering teams to push the boundaries of silicon test innovation. - Own the full ATPG lifecycle—verification, coverage analysis, pattern generation, and ATE bring-up—across NVIDIA’s full product portfolio. - Guide and mentor junior engineers, helping them navigate complex design trade-offs to achieve world-class quality and efficiency. What we need to see: - MS/PhD or equivalent experience in Electrical Engineering or a related field - 6+ years of hands-on experience in Design-For-Test (DFT) - Deep knowledge of DFT tools, methodologies, and test strategies for complex, large-scale designs - Strong experience with industry standard ATPG tools - Clear, effective communicator—strong written and verbal skills - Passion for mentoring and scaling technical excellence in a team Ways to stand out from the crowd: - Experience with 2.5D/3D ICs, multi-chiplet architectures, or reticle-sized designs - Background in developing or enhancing EDA tool flows - Experience with Silicon testing and Automatic Test Equipment (ATE) - Expertise in using programming languages and AI for automation - Personal success stories in leading org wide changes NVIDIA offers highly competitive salaries and a comprehensive benefits package. At NVIDIA, we work on the hardest problems, and some of the most brilliant and motivated people in their fields choose to work here. Our world-class engineering teams are growing, as we lead the AI revolution from the front. If you are ready to make an impact in this journey, we want to hear from you! LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
DevOps Engineer, DFX Software
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. As part of the CAD team, our engineers develop and support tools for all of NVIDIA's semiconductor products. They also develop in-house tools in the area of Design for Test (DFT) using C++, Python, and TCL. You will work on infrastructure and software used to test our complex semiconductor devices. Below are some of the team's activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today. What you will be doing: - Be responsible for designing and managing the DevOps workflow for the software team. - Provide essential software, hardware, and lab support to ensure smooth operations and resolve any critical issues. - Architect highly automated and customizable design flows using software engineering and AI Code Generation with modular design and object-oriented techniques. - Support development of tools using C++/Python/TCL. - Work cross-functionally with DFT Methodology, Implementation, and design teams with important DFT development tasks. - Implement and maintain CI/CD pipelines for DevOps processes. - Manage cloud infrastructure and on-premise systems for scalable and reliable deployment. - Troubleshoot and resolve system, network, and application issues. What we need to see: - A BE or BTech or MTech in Computer Science, Electronics Engineering, Electrical Engineering, or equivalent experience. - At least 2+ years of relevant work experience in DevOps, with a focus on CI/CD, automation, and infrastructure management. - Solid programming and scripting skills in Python/C++ or TCL desired. Strong software engineering skills: software design, algorithms, and QA. - Strong experience with configuration management tools like Ansible, Puppet, or Chef. - Proficiency with containerisation technologies such as Docker and Kubernetes. - Experience with cloud platforms like AWS, Azure, or GCP. - Strong knowledge in GitLab pipelines. - Familiarity with tools like Artifactory and Jenkins, which are essential for managing binary repositories and automating builds and deployments. - Good understanding of build frameworks such as CMake and Meson is required. Familiarity with JIRA for project and issue tracking is good to have. - Experience in providing lab software and hardware Ways to stand out from the crowd: - Knowledge or experience with DFT - Strong GenAI, LLM, AI Code Generation skills desirable. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you! LI-Hybrid
Research Scientist - AI
NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources. You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products. What you'll be doing: - Research, design and accelerate novel generative AI models - Publish original research - Collaborate with other team members and teams - Mentor interns - Speak at conferences and events - Transfer technology to product groups - Collaborate with external researchers What we need to see: - Excellent knowledge of LLM and foundation models - Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc) - 3+ years of experience. - Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records. - Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus - Knowledge of common machine learning frameworks, such as PyTorch - Excellent communication skills NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. Looking forward to hear from you.
Senior AI and ML Engineer, Agentic AI Systems
At NVIDIA, we are building the next generation of intelligent software systems powered by large language models, retrieval systems, AI agents, and sophisticated reasoning capabilities. As AI evolves from assistants to autonomous systems capable of reasoning, planning, learning, and acting, we are creating platforms that help engineers solve sophisticated technical problems faster and more effectively. We are looking for a Senior AI/ML Engineer to push forward advancements in reasoning. The role includes improving knowledge retrieval and autonomous problem-solving AI systems. What You'll Be Doing: - Design and develop AI-powered systems that combine large language models, retrieval architectures, knowledge systems, and agentic workflows. - Develop capabilities that enable AI systems to reason across multiple information sources and generate high-quality recommendations. - Build intelligent workflows that continuously improve through evaluation, feedback, and experimentation. - Explore emerging approaches in AI agents, planning systems, memory architectures, reasoning frameworks, and autonomous workflows. - Collaborate with software engineers to transform research concepts into reliable production capabilities. - Design and execute experiments to improve model accuracy, robustness, and user trust. - Build evaluation, benchmarking, and testing frameworks for AI systems. - Design and optimize retrieval architectures, semantic search systems, vector databases, and knowledge pipelines. What We Need To See: - BS, MS, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field. - 5+ years professional experience in software engineering skills with proficiency in Python. - Experience building AI/ML systems in production environments. - Hands-on experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or intelligent software systems. - Experience designing experiments and evaluating model performance. - Strong understanding of machine learning fundamentals and modern AI system architectures. - Familiarity with retrieval systems, embeddings, vector databases, semantic search technologies, or information retrieval. - Strong debugging, analytical thinking, and problem-solving skills. Ways To Stand Out From The Crowd: - Experience building production AI copilots, agents, or autonomous systems. - Experience designing evaluation frameworks, benchmark suites, or model comparison pipelines. - Expertise in retrieval systems, semantic search, ranking systems, recommendation systems, or knowledge graphs. - Experience improving AI accuracy through retrieval optimization, workflow design, and prompt engineering. Experience training, fine-tuning, adapting, or evaluating foundation models. - Experience applying AI to software engineering, debugging, developer productivity, or operational workflows. Contributions to open-source AI projects, research publications, or technical communities. Deliver measurable improvements in AI accuracy, reliability, and user trust. Establish scalable evaluation and benchmarking methodologies. Advance the state of the art in retrieval, reasoning, and agentic AI systems. Influence technical direction across strategic AI initiatives. We are looking for engineers who treat AI accuracy as an engineering discipline. The ideal candidate combines strong machine learning intuition with rigorous experimentation, quantitative analysis, and software engineering excellence. They are equally comfortable reading research papers, designing benchmark datasets, analyzing failure cases, optimizing retrieval pipelines, and shipping reliable production systems.
Senior Engineer - AI Agents and Systems
Artificial intelligence is moving from passive assistance to autonomous, always-on agentic workflows. Our mission is to make this transition flawless, high-performing, and secure for millions of users worldwide, running natively on the GPUs already sitting in their PCs. We are looking for a Senior Software Engineer to build and optimize the local runtimes and agent frameworks that bring autonomous AI to Windows and NVIDIA GeForce RTX GPUs. You will be a hands-on individual contributor responsible for making open-source AI agents (like NemoClaw and OpenClaw) run locally, safely, and efficiently on consumer PCs. By combining high-performance local inference (Nemotron models) with robust privacy routers and sandboxed execution, you will help build the foundation of the desktop AI operating system. This is a deeply technical, code-first role. You will spend your days profiling inference pipelines, squeezing latency and memory out of local models, and hardening agent runtimes. What you will be doing: - Local Inference Optimization: Optimize performance of local LLMs (Nemotron and others) on GeForce RTX hardware. Profile and optimize inference across Ollama, llama.cpp, and vLLM, minimizing latency and memory footprint using TensorRT and CUDA. - Agent Runtime Engineering: Build and optimize agentic harnesses (NemoClaw, OpenClaw) to run natively and reliably on Windows. Implement the orchestration logic that lets multi-agent systems plan, act, and use tools efficiently on constrained consumer hardware. - Sandboxing & Security: Implement policy-based privacy and security frameworks for autonomous agents, handling filesystem access, secure inference routing, and network egress within thorough sandboxed execution environments. - Hardware/Software Integration: Work close to the metal, integrating agent and inference stacks with NVIDIA's driver and middleware layers to extract maximum performance from RTX GPUs. - Cross-Team Collaboration: Partner with internal AI research teams, driver teams, and the open-source OpenClaw community to ensure our consumer hardware is the best possible platform for local agents. - Code Quality: Write reliable, production-ready code, contribute to engineering best practices, and raise the technical bar through code review and design input. What we need to see: - Experience: 12+ years of relevant professional software engineering experience, with a track record of shipping performance-critical systems. - Education: BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience). - AI & GPU Infrastructure: Hands-on experience with LLM inference pipelines (Ollama, llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and running local models on consumer-grade hardware. - Agentic Frameworks: Practical experience with modern agentic frameworks (e.g., OpenClaw, LangChain, AutoGPT) and a working understanding of how multi-agent systems plan, act, and use tools. - Systems & OS Knowledge: Strong understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security. - Programming Languages: Proficiency in C++ (performance-critical systems and OS integration), Python (AI and orchestration logic), and TypeScript (agent plugins and tooling). - Communication: Ability to translate complex technical decisions into clear documentation and collaborate effectively across diverse engineering teams. Ways to stand out from the crowd: - Demonstrated open-source contributions to AI agent platforms or inference/orchestration tools (especially OpenClaw or llama.cpp). - Deep knowledge of NVIDIA GeForce RTX architecture and its specific constraints and advantages for edge AI. - Experience building virtualization, containerization, or sandboxing tools natively for Windows. - Active technical community presence (blogs, talks, whitepapers) at the intersection of AI, security, and local compute. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people on the planet working for us. As part of our team, you will have the opportunity to influence the future with your vision and expertise. Are you creative? Are you driven not just by data or the need to know why, but yearn to ask, 'why not'? We want to hear from you. 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 and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior Design Engineer, Coherent High Speed Interc...
NVIDIA is looking for a Senior Design Engineer for our Coherent High Speed Interconnect team! For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research! Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from substantial amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life. What You'll be Doing: - You will be working on architecture and design of our state-of-the-art high speed coherent interconnects (NVLINK-C2C) for our mobile SoCs and GPUs. - Collaborate with architects, external partners, software engineers, and circuit designers to deliver a class leading high speed coherent interconnect. - The NVLINK-C2C enables the creation of a new class of integrated products with NVIDIA partners, built via chiplets, allowing NVIDIA GPUs, DPUs, and CPUs to be coherently interconnected with custom silicon. - To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/ - This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What We Need to See: - BS or equivalent experience in Electrical Engineering or Computer Engineer or related degree required, advanced degrees (MS, PhD) a plus. - 6+ years or relevant design experience - Knowledge of industry standard interconnect protocols like PCIE, CXL, AXI, CHI will be useful. - Understanding or experience with Link layer stacks including Data link layer and Physical layer - Experience with physical layer of interconnects such as Memory (DDR, LPDDR etc..) , PCIE , SerDes - Experience and knowledge in architecture, RTL design, performance analysis and power optimization. - Strong working knowledge of Verilog or System Verilog. - Good communication skills and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus. 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/ LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Senior ASIC Verification Engineer, Coherent High S...
We are now looking for a Senior ASIC Verification Engineer for our Coherent High Speed Interconnect team! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has grown to encompass video games, movie production, product design, medical diagnosis, and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from meaningful amounts of data - has shown to be deeply effective at solving the most sophisticated problems in everyday life. As a ASIC Verification Engineer at NVIDIA, you will verify the design and implementation of our innovative high speed coherent interconnects for our mobile SoCs and GPUs. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. To learn more about NVIDIA's ultra-fast chip interconnect technology visit: https://www.nvidia.com/en-us/data-center/nvlink-c2c/ What you'll be doing: - In this position, you will be responsible for verification of high-speed coherent interconnect design, architecture and golden models. - You will be responsible for micro-architecture using sophisticated verification methodologies. - As a member of our verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), complete test/coverage plans, and verify the correctness of the design. This role will collaborate with architects, designers, emulation, and silicon verification teams to accomplish your tasks. What we need to see: - Bachelors or Master’s Degree (or equivalent experience) - 3+ years of relevant verification experience. - Experience in architecting test bench environments for unit level verification. - Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies. - Prior Design or Verification experience of Coherent high-speed interconnects. - Knowledge of industry standard interconnect protocols like PCIE, CXL, CHI will be useful. - Strong background developing TB's from scratch using SV and UVM methodology is desired. - C++ programming language experience, scripting ability and an expertise in System Verilog. - Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB). - Strong debugging and analytical skills. - Experienced communication and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus. NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you. LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 125,000 CAD - 175,000 CAD for Level 3, and 155,000 CAD - 205,000 CAD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
Senior Signal Integrity Engineer – Cryogenic Inter...
We are now looking for a Senior Signal Integrity Engineer – Cryogenic Interconnects! NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. This is a dynamic team working with state-of-the-art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle. What you'll be doing: - Develop accurate 3D EM models for PCB and interconnect structures using tools such as HFSS - Simulate multi-layer PCB designs under cryogenic conditions - Define high-speed constraints, SI specifications, and design guidelines across RF, materials, and thermal domains - Work on next-generation cryogenic interconnect solutions for ultra-high-speed communication - Collaborate closely with SI, materials, mixed-signal, and system teams to drive end-to-end interconnect performance - Perform lab characterization and validation using network analyzers and other measurement tools - Correlate simulation results with hardware measurements to improve modeling accuracy - Contribute to system-level understanding of interconnect behavior across PCB, package, and system domains What we need to see: - MS/PhD in Electrical Engineering or equivalent experience - 5+ years of experience - Strong experience in signal integrity modeling and simulation (HFSS or similar EM tools) - Deep understanding of high-frequency / broadband design - Solid understanding of multi-layer PCB design and signal behavior - Knowledge of PCB materials and their electrical and physical properties - Experience with lab measurements (VNA, high-speed characterization) - Background in cryogenic technologies or strong interest in developing expertise in this area Ways to stand out from the crowd: - Experience working on low-loss / ultra-high-speed interconnects - Background in materials modeling or SI-material correlation - Experience in extreme environments (cryogenic, thermal, or reliability-driven design) - Track record of correlating simulation to hardware measurements - Strong cross-functional experience with PCB, package, and system teams Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
PCB Design Layout Engineer
We are looking for a Senior PCB Design Layout Engineer join the Hardware Layout team. NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: - Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (Data Center, GPU Desktop, Notebook, Automotive, Professional, Deep Learning, and AI). - Complete development of CAD layout from detailed component placement, constraints management, with a concept of topology and signal and power integrity. - Be responsible for the design releases required generation of artwork files, ODB++, test reports, and electronic PCB documentation. - Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specification. What we need to see: - B.Sc. in Electrical Engineering or related field (or equivalent experience); advanced degree preferred. - 6+ years of overall relevant practical experience - Proven leadership experience, with a track record of successfully managing teams and projects. - Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams. - Detail-oriented approach with a focus on quality and reliability in PCB layout design. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. - Strong problem-solving skills and the ability to troubleshoot complex design issues. Ways to stand out from the crowd: - Proficiency in PCB design tools such as Cadence Allegro, or Mentor Graphics - Familiarity with industry standards and regulations related to PCB layout and manufacturing processes. - Strong understanding of high-speed digital design principles and signal integrity considerations. 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 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Systems Quality and Reliability Lead - LPU
We are seeking Lead Systems Quality and Reliability Engineer to join our LPU team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence! What you'll be doing: You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new Nvidia AI/ML products. You will conduct tests, and root-cause analysis. Other responsibilities include: - Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware engineers, Software engineers, and operations engineers as required - Scale root cause FA capabilities within your organization - Create FA result reports that align with standard 8D or similar process - Analyze RMA, FA and repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts - Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA rates, MTBF, and Reliability Ratio - Manage operational perf of FA at CMs, ensuring partner achieve key perf indicators including FA cycle times, fault duplication rates and fault isolation rates - Oversee the setup of new products into Failure Analysis operations What we need to see: - BS/MS in EE, Physics or a related degree (or equivalent experience) - 8+ yrs of hands on systems test and/or validation engineering experience - Proven hands-on management and leadership experience - Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers etc. - Experience with enabling reliability tests such as HTOL and quality tests such as Burn in - Ideal candidate will have working knowledge of FA techniques and tools such as FIB, SEM, TDR, VNA and CSAM - Strong knowledge of Fault isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI - Proficiency with high speed interfaces (SerDes, PCIe, DDR) - Proficiency in Python, PERL, C++, or other languages on UNIX /Linux - Excellent knowledge of PCB card and system level test and debug as well as be able to manage factory floor partners (CMs) for RMA/FA activities With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
Principal Software Engineer, AI Networking
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, where the future is defined by our innovative advances in AI, computer graphics, and accelerated computing. As a Principal Software Engineer, you will lead the transformation of AI networking systems. You will apply your deep expertise to manage complex customer engagements and help develop our product and architecture direction. This role offers an outstanding opportunity to influence NVIDIA's networking technologies and make a significant impact on the industry! What you'll be doing: Lead the technical strategy for AI Factory networking deployments at strategic customers, including conducting architecture reviews, risk assessments, and crafting multi-phase execution plans. Serve as the principal-level technical authority for embedded networking products like BlueField and ConnectX. This role also covers the surrounding technology ecosystem, including DOCA, RDMA, RoCE, and Infiniband. - Lead deep technical engagements with hyperscalers and AI Factory customers, involving design-in, coding, bring-up, performance tuning, failure analysis, and production hardening. - Partner with internal engineering, product, and architecture teams to transform customer needs into product features, reference architectures, tooling, and guidelines. - Drive performance, reliability, and debuggability improvements across customer stacks and translate findings into actionable product, firmware, and software roadmap items. What we need to see: - BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. - 15+ years of relevant industry experience, including technical leadership across complex systems. - Deep knowledge of networking protocols and distributed systems, with a strong understanding of RoCE/InfiniBand, L1–L4 fundamentals, and performance/latency tradeoffs. - Proven low-level software expertise with proficiency in C/C++ and comfort debugging across firmware, driver, and user space. - Demonstrated experience in high-performance networking and system-level debugging, including packet drops, retransmissions, congestion, QoS, ordering, and buffer management. - Excellent interpersonal skills, with the ability to clearly explain complex topics to engineers, PMs, and customer collaborators, and align cross-organizational teams toward a decision. Ways To Stand Out from the crowd: - Prior experience in customer-facing technical leadership at hyperscalers/CSPs/AI factories (or similarly complex production environments). - Hands-on expertise with DPDK, DOCA, RDMA verbs, NCCL, CUDA-aware networking, congestion control, and performance tuning at scale. - Experience building internal tools, telemetry, and automation that improve triage speed and operational excellence. - Demonstrated innovation: patents, publications, hackathons, rapid prototyping, or shipping new architecture/features end-to-end. - Experience leading multi-team initiatives across geo/time zones, with clear examples of influence without authority as well as eager and proactive in bringing to bear AI-powered tools to accelerate debugging, documentation, and day-to-day engineering efficiency while maintaining strong engineering judgment. 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 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.
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