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Nvidia
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  • Senior Counsel, Hardware Products and Technology Transactions  

    - Santa Clara County
    NVIDIA has been transforming computer graphics, PC gaming, and acceler... Read More
    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’re hiring a skilled attorney to join NVIDIA as Senior Counsel, supporting critical hardware products by concentrating on strategic collaborations and the sourcing of intellectual property. You’ll engage closely with product, engineering, and business-development teams to advise on products meaningful to NVIDIA’s growth and draft and negotiate complex hardware agreements.What you’ll be doing:Support hardware product legal workstreams, including IP development and licensing, product regulatory matters, and other strategic deals and technology transactions.Provide concise, strategic advice to senior leaders on IP, product, and regulatory issues influencing NVIDIA’s roadmap.Draft, review, and negotiate hardware-focused or technology transaction agreements, including strategic supply, licensing, collaboration, and co-development deals.Develop and maintain templates, playbooks, and mentorship for collaborations and inbound IP transactions to enable efficient, scalable deal execution.What we need to see:8-12 years of relevant legal experience, including substantial time at a major law firm and in-house experience supporting a leading technology or hardware company.Strong understanding of IP issues in hardware and embedded software, including ownership, licensing structures, and risk allocation.Ability to negotiate and lead high-stakes, complex agreements with suppliers, customers, and ecosystem partners.Excellent communication skills and good judgment with the ability to offer practical, business-forward advice to senior leaders.J.D. from an accredited U.S. law school and a strong academic record. Admitted to the bar and in good standing in the jurisdiction of hire, or otherwise authorized to practice law, such as registered in-house status.Ways to stand out from the crowd:At least 4 years of pertinent in-house experience at a top semiconductor or other hardware company.Self-starter who excels at leading projects, prioritizing tasks, and working collaboratively with diverse collaborators.Subject-matter expertise in one or more of the following areas: inbound IP sourcing, hardware collaborations, co-development agreements, and complex licensing deals.Prior litigation and clerkship experience, an engineering degree, or equivalent experience are a 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 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 232,000 USD - 368,000 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until May 26, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.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.SummaryLocation: US, CA, Santa ClaraType: Full time Read Less
  • Senior Accelerated Computing Product Manager  

    - Santa Clara County
    We are seeking a versatile and highly technical Product Manager who wi... Read More
    We are seeking a versatile and highly technical Product Manager who will help us chart a course toward continued excellence in our Accelerated Datacenter products. If you have an intuitive understanding of gaps in hardware, software, tools, and systems, and experience driving repeatable and achievable measurement processes, we'd like to hear from you! From compiler flags and kernel configurations to energy efficiency and SoC features, this is an outstanding role that touches on deeply technical facets of CPU and GPU deployment but allows for the opportunity to advise significant outcomes "at the top of the stack" via incisive analysis of data and concise communication.Successful people in this role would be able to produce and demonstrate a thoughtfully structured tracker featuring key product workloads, customers, and engagements of note surrounding them, and their competitive performance positions from various lenses (throughput, power consumption, SoC usage, potential for future optimization) -- and then stretch their marketing and communication talents to bring it all back to the core metric of product management: an easy-to-understand value proposition!What you’ll be doing:Understand and Supervise Our Performance Measurement Needs: Work with customers, sales and field to understand key established and potential workloads for our Accelerated platforms, and areas and market segments that need to be more competitive. Translate these toBecome an Expert on Performance Comparison: Advise performance teams on how to develop like-for-like workload comparisons. Ensure methodologies are robust, accurate, and relevant, leading to reliable performance benchmarks.Tell Our Story, from Marketing to R&D: Work with technical marketing and develop internal reporting content that effectively communicates performance outcomes. Ensure content is clear, accurate, and tailored to the audience, whether it be internal partners or potential clients.Understand Our Customers and Help Them Succeed: Effectively engage with key customers and engineers to conduct performance and workload studies. Work closely with customers to understand their needs and provide insights and solutions based on performance data.Help the Team Grow and Scale: Supervise current performance measurement and collection processes. Advise on and implement strategies to make these processes more scalable and efficient, ensuring they can adapt to evolving workload demands and technology changes. Keep data fresh and current.Understand the Competitive Landscape: Stay informed of competing products and SKUs, modeling their KPIs. Keep a pulse on industry trends and advancements in silicon technology, compilers, software, libraries, and performance measurement. Use this knowledge to advise strategies and practices within the team.Keep Our Projects Running Efficiently: Prioritize resources throughout the company in use for performance measurement, and identify gaps in coverage.Share Your Knowledge: At the intersection of compilers, tools, silicon, and platform architecture, build detailed technical documentation to address common performance concerns and optimizations.What we need to see:Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent experience.10+ years of Product Management or Product-adjacent supporting experience.Organized and methodical; able to define key product metrics, structure and track them, and keep business data up-to-date.Ability to produce clear, concise communication appropriate to various audiences: break down sophisticated technical performance summaries to brief updates for management, customer stories for marketing usage, or deep analysis to inform engineering changes.Proven understanding of software optimization, profiling, and performance analysis.Experience in engaging with customers for proof-of-concept and pre-sales activities.Strong project management skills with an emphasis on scalability and organization.Excellent communication and teamwork skills, with the ability to translate technical concepts for a non-technical audience.Strong analytical abilities.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 January 13, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.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.SummaryLocation: US, CA, Santa ClaraType: Full time Read Less
  • We're looking for a Principal Software Engineer to join our CSP Engage... Read More
    We're looking for a Principal Software Engineer to join our CSP Engagements team as the technical focal point for GPU firmware and GPU system software, working directly with engineering teams of key CSP / hyperscale customers to ensure they can reliably manage, update, and operate NVIDIA GPU firmware at fleet scale. You will drive work streams with engineering teams of key CSPs/hyperscale customers to build shared understanding of GPU firmware and system software integration, incorporate their feedback into NVIDIA's feature roadmap and delivery plan, and ensure customer-side automation and recovery procedures are ready before each firmware release. Your cross-CSP visibility enables you to identify patterns in GPU firmware operational challenges that drive systemic improvements no single customer engagement could surface alone.What you'll be doing:Drive GPU firmware & siftware work streams with CSP engineering teams — ensuring they understand GPU firmware architecture (VBIOS, InfoROM, microcontroller firmware), update sequencing, recovery procedures, and GPU power managementGather and synthesize CSP feedback on GPU firmware/software — covering manageability, observability, security requirements (e.g., multi-tenancy isolation, secure boot, attestation), and performance — and champion those priorities into NVIDIA's GPU firmware/software feature roadmap and delivery planDrive GPU firmware update orchestration for large-scale deployments — multi-GPU update sequencing, rollback strategy, failure handling, and validation across hundreds of GPUs per rackServe as the technical focal point between NVIDIA and CSP firmware/software engineering — ensuring GPU behaviors (error recovery flows, thermal protection, power state transitions) are well-documented and accessible for customer integrationIdentify cross-CSP GPU SW/FW issue patterns — common update failures, recovery gaps, and configuration problems — and drive documentation, tooling, and test strategy improvementsWhat we need to see:15+ years of experience in GPU system software, GPU firmware, or accelerator platform engineering. BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)Deep understanding of GPU architecture internals: streaming multiprocessors, GEMM execution, compute kernels, memory hierarchy, and how firmware/driver decisions impact GPU compute performanceUnderstanding of multi-GPU fabric architectures (NVLink, or similar) and how firmware coordinates across multiple GPUs in a rack-scale systemUnderstanding of GPU firmware architecture: VBIOS, GPU microcontroller firmware, InfoROM, and their interaction with the GPU driver stackExperience with firmware update lifecycle management at scale: multi-device update sequencing, A/B updates, rollback, staged rollout, emergency recoveryUnderstanding of GPU error handling and recovery flows — how firmware-level errors propagate through the driver stack to application-visible failuresExperience with GPU health monitoring and telemetry: Xid errors, thermal events, power events, ECC counters, and their significance for firmware/software teamsCustomer obsession — genuine passion for simplifying GPU firmware integration for fleet-scale customers. Proven success influencing engineering teams to improve quality and fleet manageabilityWays to stand out from the crowd:Direct experience with NVIDIA GPU VBIOS, GPU microcontroller firmware, or GPU driver internalsBackground in GPU fleet management at 10K+ GPU scale — firmware rollout, health-based remediation, fleet-wide configuration managementExperience with GPU error taxonomy (Xid classification, NVLink error counters, ECC events) and building runbooks around GPU firmware behaviorUnderstanding of GPU security: secure boot chain, code signing, attestation, debug authentication, multi-tenancy isolation at the firmware levelFamiliarity with GPU power management architecture and its impact on workload performance at fleet scaleNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, 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 8, 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.SummaryLocation: US, CA, Santa Clara; US, TX, Austin; US, OR, Remote; US, CA, RemoteType: Full time Read Less
  • Distinguished Engineer, Production Silicon Diagnostics  

    - Santa Clara County
    We are seeking a Distinguished Engineer of Production Silicon Diagnost... Read More
    We are seeking a Distinguished Engineer of Production Silicon Diagnostics to elevate production ATPG and memory diagnostics into an outstanding production system for yield learning, failure analysis (FA), and product ramp! This role will define and drive the strategy, methodology, platform integration, team structure, and multi-functional operating model required to make diagnostics a central engine for silicon learning.This role is especially significant as we introduce products into advanced process technologies, including backside power delivery, where traditional debug, defect localization, and physical FA workflows become increasingly sophisticated! The ideal candidate brings deep expertise in production diagnostics, DFT, test, FA, yield/reliability learning, automation, and multi-functional technical leadership.What You'll Be DoingDefine and lead the strategy for NVIDIA’s production diagnostics, covering ATPG and memory diagnostics, with an emphasis on yield/reliability learning, ramp acceleration, FA efficiency, and production scalabilityEstablish the multi-functional operating model required to make diagnostics a scalable capability across design, DFT, test, product engineering, FA, yield, foundry, and EDA partnersDrive advanced diagnostic capabilities for next-generation product ramps, including backside power technology, where physical debug, defect localization, and yield learning are increasingly complexStandardize and automate end-to-end diagnostics flows to improve repeatability, efficiency, diagnostic quality, and time-to-root-causeConnect diagnostic signatures, failure classifications, physical FA results, product learning, and foundry feedback into a closed-loop production yield-learning systemBuild diagnostic-friendly design and DFT practices while connecting prototype methods and sophisticated debug techniques into our production diagnostics platformWhat We Need to SeeBachelor's degree or higher in Engineering, Computer Science, or a related technical field, or equivalent experience20+ overall years of experience in semiconductor engineering, production diagnostics, DFT, test, silicon debug, FA, yield learning, or related post-silicon subject areas12+ years of technical leadership and people management experience, including building new engineering capabilities, mentoring senior technical talent, and scaling high-impact teamsDeep expertise in ATPG diagnostics, memory diagnostics, production test data, diagnostic automation, and high-volume production debug or yield-learning flowsWays to Stand Out from the CrowdDemonstrated end-to-end creation and ownership of high-volume production diagnostics infrastructure for advanced-node technologies, complex SoCs, or advanced semiconductor productsDeep understanding of how design, DFT, test, diagnostics, FA, yield, foundry, and analytical workflows connect to accelerate yield learning and address performance, reliability, and quality challengesProven track record to influence diagnostic-friendly design and DFT practices, including test content, observability, controllability, debug hooks, and silicon learning requirementsExperience connecting diagnostic signatures to physical defect mechanisms, FA outcomes, foundry learning, and measurable production yield improvementWidely 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 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 - 425,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 13, 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.SummaryLocation: US, CA, Santa ClaraType: Full time Read Less
  • Senior Manager, Interactive World Model Platforms  

    - Travis County
    NVIDIA's OmniDreams and FlashDreams are the foundation for a new gener... Read More
    NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models. And, we've put our work in the open with an open weights model release with an associated open source inferencing engine. We are on a mission to keep raising that bar, making interactive world models viable wherever dynamic worlds matter: autonomous vehicles, robotics, rendering, and simulation.We are seeking an engineering leader to transform this technology lead into an industry standard platform and ecosystem. You will form the team that keeps FlashDreams fast, makes OmniDreams useful in real workflows, and helps customers and researchers succeed with the stack. Success means more than shipping software: it means high-quality solutions, trusted releases, strong performance, engaged developers, and research feedback that compounds. You'll work alongside outstanding research teams and NVIDIA leadership. If turning breakthrough research into something developers rely on every day sounds like the best job you can envision, we'd love to talk.What you'll be doing:Scale the engineering team building NVIDIA's interactive world-model platform across OmniDreams, FlashDreams, AlpaSim technologies.Establish the production engineering path for interactive world models in AV, rendering, robotics, and simulation.Build the architecture and processes needed to turn fast paced research into reliable developer-facing software.Own product and engineering excellence: performance, scalability, reliability, developer experience, CI/CD, and release management.Partner with research, simulation, rendering, and AV teams to translate world-model breakthroughs into production-ready platform capabilities.Grow the open developer and research ecosystem around NVIDIA's world-model stack.What we need to see:Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.Technical fluency in the ML primitives behind interactive world models, including diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing style training, Gaussian splatting, NeRFs, and neural reconstruction.Demonstrated experience turning research-stage systems into dependable, scalable products.12+ overall years experience, 5+ years leading teams.Bachelors degree or equivalent experience.Results-focused leadership: you build the process, hit the dates, and hold the quality bar.Ways to stand out from the crowd:Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, robotics, simulation, synthetic data, or production rendering workflows.Hands-on experience building, adapting, or deeply evaluating world models, video generation systems, neural rendering systems, Gaussian splatting / NeRF pipelines, or neural shading techniques.Experience moving from earlier neural rendering approaches, such as NeRFs or Gaussian splatting, toward generative world models for interactive simulation, rendering, robotics, or AV.Published or peer-recognized work advancing the state of the art in world models, neural rendering, generative simulation, video generation, or production ML infrastructure.Experience building developer ecosystems or research communities around open-source projects.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 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until June 30, 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.SummaryLocation: US, CA, Santa Clara; US, TX, Austin; US, WA, SeattleType: Full time Read Less
  • Senior Director, Enterprise Networking  

    - Santa Clara County
    NVIDIA has been transforming computer graphics, PC gaming, and acceler... Read More
    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 Enterprise Infrastructure organization is seeking a Senior Director, Enterprise Networking to lead the strategy, architecture, deployment, and operations of NVIDIA's global enterprise network. This is a critical leadership role responsible for the end-to-end network that connects NVIDIA's offices, campuses, HPC data centers, labs, and cloud environments worldwide. As NVIDIA scales at an unprecedented pace to power the AI revolution, this leader will drive Agentic AI-based transformation of our enterprise network to match the velocity, reliability, and security demands of the world's leading AI company.What you'll be doing:Set the technical vision, strategy, and multi-year roadmap for the global enterprise network, spanning on-prem and cloud environments.Lead the design, deployment, and operation of wired/wireless office networks, campus edge, and robust SD-WAN/POP/WAN architecture for resilient global connectivity leveraging Agentic AI.Drive HPC data center networking, including high-speed interconnects, spine-leaf fabrics, and capacity planning for GPU-dense research and engineering infrastructure.Architect and manage on-ramp to cloud connectivity, including direct peering, interconnects, and hybrid network integration with major CSPs (AWS, Azure, GCP).Oversee network firewall and security infrastructure, including NGFW, segmentation, micro-segmentation, NAC, and Zero Trust access, in partnership with Cybersecurity.Establish agentic, data-driven, SRE-oriented operating model with well-defined SLOs, observability, automation, and continuous improvement across all network domains.Build, mentor, and scale a globally distributed engineering organization spanning architecture, design, deployments, and network site reliability engineering, transforming team and processes to leverage agentic AI.Partner cross-functionally (IT, Security, Real Estate, Facilities, Cloud Engineering) to ensure network readiness for all business needs, and represent networking at the executive level by translating complexity into business outcomes and investment priorities.What we need to see:Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience18+ years of overall experience in network engineering, architecture, and operations, with 10+ years of leadership experience managing large, geographically distributed network teamsDeep expertise across enterprise networking domains: LAN/WLAN, WAN/SD-WAN, data center networking, campus edge, network security, and cloud connectivityProven track record of transforming network operations at scale — moving from traditional NOC models to modern, software-driven SRE and agentic AI first approachesExperience operating networks in hyperscale or large enterprise environments with thousands of network devices across multiple geographiesStrong command of network security architecture, including NGFW, NAC (ISE/similar), network segmentation, IPsec VPN, and Zero Trust principlesDemonstrated ability to build and develop high-performing teams, including hiring, mentoring, and succession planning across multiple management layersExceptional executive communication skills — able to translate technical infrastructure priorities into business language for senior leadershipExperience managing vendor relationships and technology evaluations across networking platforms (Arista, Cisco, Juniper/Mist, Palo Alto, Aryaka, or similar)Ways to stand out from the crowd:Experience at a hyperscale cloud service provider, large technology, AI, or HPC-focused organization, with familiarity in HPC and AI cluster networking (InfiniBand, Spectrum-X, RDMA/RoCE).Background in network automation and infrastructure-as-code (Terraform, Ansible, Python, Netconf/YANG).Experience implementing SRE principles (observability, SLOs/SLIs, incident management, runbook automation) leveraging AI/ML and AI agents.Deployed cloud networking and hybrid architectures across AWS, Azure, and GCP.Track record of operating networks supporting rapid physical expansion (new office builds, lab stand-ups, and data center deployments).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!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 332,000 USD - 500,250 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until June 8, 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.SummaryLocation: US, CA, Santa ClaraType: Full time Read Less
  • We are looking for a Global Account Manager (GAM) to be part of the Le... Read More
    We are looking for a Global Account Manager (GAM) to be part of the Lenovo OEM team to drive adoption, integration of NVIDIA AI Software at Lenovo Corporation. We are seeking an expert, technically astute sales professional with a track record selling sophisticated solutions to large organizations. This position requires collaboration with Lenovo and NVIDIA platform development teams covering hardware, software, delivery and support, product managers, product marketing, and GTM teams. We highly value creativity, energy and a drive to succeed in a challenging, fast paced environment!What you will be doing:Develop deep technical understanding of the NVIDIA Agentic AI Platform inclusive of GPU, DPU, CPU, reference architectures, software, licensing models.Understand Lenovo’s product stacks including Data Center, Client, Edge, Networking, and Storage. Identify areas to integrate NVIDIA AI, Software, SDKs, Libraries.Package NVIDIA accelerated computing and AI as Lenovo solutions, help co-market, co-sell in DC, Cloud, and Enterprise segments via Direct, VAR, Distribution, GSI sales channels.Build thought leadership for joint solutions by participating in industry and customer events.Expand partnerships with NVIDIA AI ecosystem and develop, deploy 3-way go to market.What we need to see:Bachelor’s degree in computer science or business or equivalent experience.12+ years of shown success with software products sales, integration with large organizationsExcellent presentation, communication skills.Confirmed understanding of AI software integration, commercialization, and salesKnowledge of cloud native environments such as Kubernetes, Docker, OpenShift, microservices, etc.Comparative understanding of cloud, on-prem and hybrid cloud environments.A strong curiosity about understanding new technologies, adept at conveying value to business executives and software development leaders.Proven track record working with a matrixed team including product, engineering, DevOps, IT.Ways to stand out from the crowd:Experience selling software with the Lenovo product portfolioUnderstanding of accelerated computing, data science, machine learning, and AI deployment at scale.Experience working with ISVs and System Integrators to accelerate solution deploymentConsistent record embedding SW and building solutions in partnership with ISV ecosystemDemonstrated ability to provide thought leadership, think strategically, act independently, and optimally communicate vision (both written and verbal)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!Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 21, 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.SummaryLocation: US, NC, Durham; US, CA, Santa ClaraType: Full time Read Less
  • Principal Software Engineer, Mapping - Autonomous Vehicles  

    - Santa Clara County
    NVIDIA has been transforming computer graphics, PC gaming, and acceler... Read More
    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 passionate team member to build planet-scale maps supporting self-driving technology using crowdsourced data from millions of cars around the world. The role involves computer vision, geometry, pose estimation, sensor fusion, and large-scale systems. You will transform sparse perception signals and dense video clips into accurate and fresh maps. Our work helps autonomous vehicles understand the road with high-quality map priors. These maps improve driving performance, safety, and coverage. You will work with a diverse team of engineers in mapping, perception, reconstruction, localization, and autonomous driving. Together, we will deliver impact to customers worldwide.What you will be doing:Build scalable mapping systems using crowdsourced perception data and multi-camera video collected from a vast number of vehicles.Develop 3D reconstruction, structure-from-motion, pose estimation, and multi-view geometry algorithms for large-scale road scene understanding.Build map fusion and change-detection methods that can handle noisy observations, dynamic scenes, imperfect localization, and global consistency constraints.Build C++ production systems and offline pipelines that transform fleet data into reliable map products used in self-driving and driver support technologies.Invent evaluation methods to measure map accuracy, freshness, coverage, consistency, and downstream autonomy impact.Develop visualization, debugging, and triage tools to understand reconstruction quality, map issues, localization errors, and fleet data gaps.Work closely with perception, localization, simulation, planning, and infrastructure teams to integrate crowdsourced maps into autonomous driving systems.Relentlessly improve the scale, fidelity, freshness, and reliability of maps built from real-world fleet data.What we need to see:Strong programming skills in C++ and experience building production-quality software systems.Solid foundation in 3D computer vision, 3D geometry, multi-view geometry, structure from motion, SLAM, pose estimation, or related areas.Experience working with large-scale sensor data, including camera video, perception outputs, vehicle poses, GPS/IMU signals, lidar, radar, or map data.Ability to reason about coordinate frames, calibration, uncertainty, optimization, geometric consistency, and error propagation.Experience crafting algorithms that are robust to noisy real-world data, dynamic objects, occlusions, incomplete coverage, and long-tail failures.Strong debugging and analytical skills, including the ability to inspect data visually, build metrics, and connect system-level failures to algorithmic root causes.15+ years of experienceBS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related technical field (or equivalent experience).Ways to stand out from the crowd:Experience building maps, localization systems, 3D reconstruction systems, perception systems, or sensor-fusion pipelines for autonomous driving or advanced driver assistance systems.Background in large-scale mapping, crowdsourced map construction, map fusion, change detection, map freshness, road topology, lane geometry, or semantic map generation.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 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 June 30, 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.SummaryLocation: US, CA, Santa Clara; US, RemoteType: Full time Read Less
  • Senior ADAS Product Manager - Autonomous Vehicles  

    - Santa Clara County
    NVIDIA is searching for engineers to develop and bring NVIDIA's autono... Read More
    NVIDIA is searching for engineers to develop and bring NVIDIA's autonomous vehicle out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various subsystems to integrate their work into our autonomous driving platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and challenging.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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have many of the most forward-thinking and dedicated people in the world working together. If you're creative, autonomous, and love challenges, we would love to hear.What You'll Be Doing:Develop and maintain a detailed product roadmap. Coordinate the end-to-end product design process for various automotive-related products.Develop metrics and measurements to assess product performance and shaping the experience in daily progress.Work closely with engineering, design, and marketing teams to define product requirements and ensure alignment with business goals.What We Need To See:Bachelor's degree or equivalent experience in Engineering, Computer Science, or an equivalent field.8+ years experience in product management, preferably within the automotive industry or related fields.Familiarity with Autonomous technologies, software development processes, and infrastructure management.Willing to take challenges and get hands dirty, driving, experiencing, shaping the product through first hand experience.Strong analytical abilities to interpret data and make data-driven decisions that drive product success.Excellent verbal, written communication, and presentation abilities in English.Ways To Stand Out From The Crowd:Demonstrated expertise in automotive technologies or experience working on automotive-related projects.Proven track record of innovative thinking and problem-solving in product design and development.Experience leading multi-functional teams or projects that have resulted in successful product launches.A deep understanding of user-centered design principles and a passion for delivering exceptional user experiences.Advanced knowledge of agile methodologies and familiarity with tools like JIRA, Confluence, or similar project management software.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 June 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.SummaryLocation: US, CA, Santa ClaraType: Full time Read Less
  • Senior High-Speed IO Validation Engineer  

    - Santa Clara County
    NVIDIA has continuously reinvented itself over two decades. Our invent... Read More
    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. Make the choice to join us today.We are now looking for a Senior High-Speed IO (HSIO) Validation Engineer!What you will be doing:Own HSIO (PCIe/NVLink) validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production.Coordinate with internal and external logic design, circuit design, board design, Simulation, diagnostics, firmware, driver, and marketing teams in different time zones, to ensure our products HSIO subsystem is specification compliant and tuned for optimal workload performance, and to drive the system into production.Assist in the bring-up of new hardware and solving tough system and board level issues with a focus on HSIO at a system level.Participate in reviewing board schematics, PCB layouts, and making design and component suggestions.Ensure interoperability with connected devices and system components in sophisticated interconnect topologies.Solve complex hardware and software HSIO issues at the system level on GPU accelerated computing platforms.Provide engineering support for manufacturing in both NPI and MP stages of production.What We Need to See:Ability to work on site in hardware lab environment 5 days a week in HQBSEE or BSCE or equivalent experience6+ years or more of experience in HSIO validationIn-depth understanding of the HSIO protocol (such as PCI Express, Infiniband, Ethernet), specification, and its operation at a system level.Experienced in the operation of logic and protocol analyzer, and protocol exercisers.Good knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers) and Hands-on Post-Si bring up, functional validation, debug, and tuning of HSIO interfaces (such as PCI Express, Infiniband, Ethernet).Outstanding verbal and written communication skills.Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules.Understanding of computing architectures.Coding experience with scripting languages such as Python.Ways to stand out from the crowd:Demonstrable experience in PCI Express physical layer and debugging LTSSM failures; familiarity with data link layer and transaction layer.In depth understanding of PCI Express (or similar) protocol and characterization/validation methods in post-silicon environmentExcellent knowledge of Signal integrity concepts, Silicon characteristics and high speed/SERDES functional validationExperience with datacenter products including system management, security, networking, and storage.Background with x86/Arm server architectures and accelerated GPU computing.NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with 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 January 13, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.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.SummaryLocation: US, CA, Santa ClaraType: Full time Read Less

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