NVIDIA

Developing a highly optimized inference framework running on the world’s largest supercomputers and data centers. The work environment is dynamic and challenging, focusing on innovative, next-generation products. | Candidates should have a B.Sc. or equivalent experience in Computer Science or Software Engineering, with 6+ years in modern C++ / C / Rust development. A deep knowledge of the TCP/IP network stack and understanding of computer architecture and operating systems concepts is required. | We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works. We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play. What you'll be doing: Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers. The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features. What we need to see: B.Sc. or equivalent experience in Computer Science or Software Engineering 6+ years of experience in modern C++ / C / Rust development 3 years of experience in Linux environment and familiarity with development tools Deep knowledge of the TCP/IP network stack Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) Experience in programming CUDA kernels is an advantage Familiarity with ML frameworks and LLMs Background in parallel programming / high-performance computing / RDMA technology 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 November 24, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Design, develop, and optimize high-performance distributed block storage software with kernel-level coding and cross-team collaboration. | 12+ years experience with kernel-level C/C++ development, distributed storage systems, Linux networking, RDMA, and cloud concepts, plus a relevant CS or EE degree. | We are looking for a Sr Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, HW team and external customers. You will define the Software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. Take a leading role in the design, development, and implementation of an innovative, high-performance, distributed, software defined block storage solution for the world’s first AI factory, cloud computing company. What you’ll be doing: • 100% kernel coding role • Own end-to-end design and development, challenging existing paradigms and exploring innovative approaches for RDMA and high-speed TCP-based networks. • Collaborate closely with cross-functional teams to define and implement robust networking algorithms, data management strategies, and distributed systems principles. • Contribute to architecture, integration, and alignment with both on-prem and cloud-native platforms. • Optimize system performance and reliability through in-depth analysis and low-level tuning. • Stay up to date with the latest industry trends and contribute to open-source projects. What we need to see: • B.S. or M.S. degree in Computer Science or Electrical Engineering (or equivalent experience). • 12+ years experience in development • Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and networking systems, advantage for cloud environments. • Strong proficiency in C/C++ programming. Experienced with Linux Kernel internals including block subsystem, IO stack, memory management, and scheduling. • Familiarity with storage protocols and standards, especially NVMe. • Knowledge of networking fundamentals and experience in Linux-based networking environments. • Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths. • Knowledge of cloud computing concepts, including virtualization, scalability, and data management. Ways To Stand Out From The Crowd: • Excellent communication skills and a collaborative mindset. • Perseverance and determination in debugging complex 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 21, 2025.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.

Lead a team responsible for testing, integration, and delivery of NVIDIA's products in the generative AI market. Design and implement testing processes and setups to ensure product quality and performance. | Candidates should have a bachelor's or master's degree in computer science or engineering, with at least 8 years of overall experience and 5 years in a leadership role. Strong communication, debugging, and analytical skills are essential. | NVIDIA is looking for an experience manager to lead one of our system testing and integration team in Cloud Solution group. This team is responsible for the testing, integration, and delivery of most sophisticated company`s products under growing generative AI market. Current position is focused on leading a group of system engineers. What you'll be doing: Leading groundbreaking technology qualification processes Designing and testing NVIDIA large scale setups, that mimic Tire I customers data centers work loads Reviewing arch design and requirements for new features introduced in the whole Ethernet/InfiniBand switches and network adaptors portfolio Designing and building setup topologies for an appropriate product coverage with an emphasis on emulation of customer large scale / complex environments Designing for testing automation team, and implementing tests for the new features, as part of growing NVIDIA data center switches and network adaptors portfolio with its software releases cycles. Mentoring team members. Generating comprehensive test reports during release execution procedure, assisting with reproduction and debugs complex customer use cases, with determination of the issue root cause; being an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team Reporting bugs found during execution, assisting with reproduction and debugs to understand root cause, verifying bug fixes provided by R&D team Performing end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Reporting the testing progress and providing summary reports of testing activity What we need to see: Bachelors/master’s degree in computer science or computer engineering, or equivalent experience 8+ overall years of experience 5+ years experience as a team leader Capable of multi-tasking, and has ability to drive people and tasks Excellent communication and technical presentation skills Strong debugging and analytical skills Fast and self-learner with outstanding technical skills Effective trouble shooting and problem-solving ability Ways to stand out from the crowd: Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes) Knowledge of networking protocols: InfiniBand, Ethernet Experience in programming Previous experience with Networking deployment based on 1588V2 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! #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 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 21, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Lead strategic partnerships and collaborations with global systems integrators and drive adoption of NVIDIA's CAE/EDA platform and SDKs. | 10+ years managing ISV partnerships or software/SDK delivery, MS/PhD in CS or Engineering, deep CAE/EDA knowledge, and excellent communication skills. | At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for passionate technologists with industrial engineering (CAE/EDA) domain expertise to engage the community. In this role you will be responsible for defining strategic partnerships, leading collaborations, driving SDK adoption, and evangelizing the NVIDIA platform with global systems integrators, consultants, and contractors. The CAE organization is a strong, growing, and visible group both inside and outside of NVIDIA in this exciting area to drive strategy. We are looking for a self-starting leader to continue to grow this area. Do you have the rare blend of both technical and relationship skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you! What You'll Be Doing • Develop and maintain fruitful technical relationships and engagements with a keen sense of ownership end-to-end. Build and drive partnerships with GSI developers, software platform architects, software consultants, and others building engineering software solutions for the CAE/EDA customer ecosystem. • Nurture deep technical expertise in the NVIDIA platform. Co-design and implement advanced technical solutions with partners: define objectives, architecture, achievements, and delivery plans. • Develop product strategy with multi-functional teams: Product, Engineering, Marketing, and Applied Research. Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps. • Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for best practices, and drive alignment with NVIDIA technical solutions. • Deliver technical enablement resources - code samples, reference architectures, integration guides, workshops. Host developer and customer evangelism events: meetups, hackathons, lectures. • Discover high impact problems NVIDIA can uniquely solve that create new market paradigms. • Drive early adoption of new products and support launch and go-to-market activities. • Speak at relevant scientific, technical and industry conferences. What We Need To See • MS/PhD in Computer Science or Engineering or equivalent experience. • 10+ years of experience in a major technology company managing ISV partnerships or delivering Software and SDKs. • Experience managing technical and business alliances across multiple partner groups and the peer teams. • Proven understanding of CAE or EDA technologies and ecosystem. • World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences. Ways To Stand Out From The Crowd • Experience with NVIDIA products and SDKs (CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse) • Hands-on experience in CAE, high-performance computing environments, applied machine learning, or deep learning. • Background in software development. Bonus points for engineering ISV software development experience. 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 person 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 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 October 21, 2025.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. JR2002434

Develop and deploy perception DNN models on embedded platforms, analyze system performance, and improve real-time applications. | Requires 8+ years of experience in embedded platforms for real-time applications, proficiency in C++ and Python, and experience with software verification and documentation. | Job Description: • Execute full software development life cycle (SDLC) • Write well-designed, testable code • Integrate perception (but not limited) software components into a fully functional software system • Develop software verification plans and quality assurance procedures • Document and maintain software functionality • Solve, debug and upgrade existing systems • Stay in sync with project plans and industry standards • Deploy state-of-the art perception DNN models to embedded platforms • Analyze and improve the system using both real and synthetic benchmark data Requirements: • BS, MS or PhD in Computer Science or related fields (or equivalent experience) • Proven work experience (8+ years) on embedded platforms for real-time applications as a Software Engineer or Software Developer • Strong programming skills in C++ and Python • Experience with test-driven development • Experience with disciplined, design based approach to software development • Proficiency in software engineering tools • Ability to document requirements and specifications • Outstanding communication and collaboration skills Benefits: • Eligible for equity and benefits

Develop and optimize GPU-accelerated applications and algorithms for public sector clients, collaborating with internal teams and external developers. | MS or PhD in engineering or computer science, 5+ years in parallel programming with CUDA C/C++ or similar, strong CS fundamentals, and experience with GPU architectures. | We are now seeking a Senior Developer Technology Engineer for the Public Sector! NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in fields targeting applications in the federal ecosystem. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures. What You Will Be Doing • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g. Python). • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity. • Occasional travel from time to time for conferences and on-site visits with developers. What We Need To See • Have an MS or PhD degree or equivalent experience in an engineering or computer science related field. • Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms. • Strong computer science fundamentals, including parallel data structures and algorithms, combinatorics, and sparse representations. • 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM). Ways To Stand Out From The Crowd • Domain expertise in data and graph analytics, data-science, network analysis, cybersecurity, machine learning, or deep learning. • Experience developing with libraries in the RAPIDS ecosystem, including but not limited to cuDF, cuML, cuGraph, Spark and cuPY. • Experience with JIT compilation and using NUMBA. • Backgroundwith algorithm and architecture codesign. Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. 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. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!  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!  # 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 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 29, 2025.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. JR1999904

Research, design, and develop network programmability solutions and proof-of-concept developments for advanced data center technologies. | 8+ years in system programming or related fields with experience in virtualization, networking, storage, and strong programming skills, plus a relevant degree. | NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a senior architect to join us in shaping the future. As a senior architect in the Advanced Development team, you will craft architectural solutions and be a part of proof-of-concept development across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What You’ll Be Doing • Research, design and develop solutions in the field on network programmability which involves innovative software and hardware. • Work closely with various groups within NVIDIA to accelerate network programmability technologies. • Perform proof-of-concept and simulation development to evaluate and drive pioneering network programmability technology. • Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads. What We Need To See • Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). • 8+ years of industry experience (or equivalent) in system programming or related fields. • Experience in virtualization, networking and storage. • Background in algorithm design, system programming, and computer architecture. • Strong programming and software development skills. • 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 • Proven research track record. • Experience in network programmability. • Have experience and passion for system architecture, CPU/GPU/memory/storage/networking. • Stellar 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 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 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 November 21, 2025.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. JR1990924

Designing and developing scalable cloud services and APIs for high-volume data ingestion and processing, leading technical projects, and collaborating across teams. | Extensive experience in building scalable REST APIs, proficiency in programming languages like Python or Go, familiarity with cloud infrastructure and containerization, and experience with high-scale distributed systems. | This a Full Remote job, the offer is available from: United States, California (USA), Washington (USA) 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 is widely recognized as one of the most desirable employers, with some of the most talented people in the world working for us. If you're passionate about building scalable, efficient systems to power cloud operations, we invite you to join our team. We are looking for a Lead Software Engineer to join our DGX Cloud team and build the foundational systems that drive NVIDIA’s high-performance GPU infrastructure. You will play a technical lead role in designing scalable cloud services that integrate with diverse systems including GPU telemetry in datacenters, and enabling operational automation across global cloud operations. What You'll Be Doing: • Act as technical lead for a team of software engineers designing cloud services backed by databases and data warehouses. • Design and develop RESTful APIs to ingest telemetry from AI datacenters. • Build scalable cloud services for high-volume ingestion, processing, and storage of large datasets. • Build and manage data pipelines for online and offline data storage. • Collaborate across teams to codify business processes into scalable, self-measuring systems. • Optimize the reliability and efficiency of cloud services and operations. • Lead and ship impactful technical projects, ensuring quality and scalability at every stage. What We Need To See: • At least 12+ years of industry experience with a Bachelor’s or Master’s degree (or equivalent experience); PhD degree preferred. • Expertise in building scalable REST APIs backed by PostgreSQL-compatible data stores. Proficiency in programming languages such as Go or Python. • Familiarity with modern JavaScript frameworks (e.g., React, Angular, Next.js). • Expertise in cloud infrastructure (AWS, GCP, Azure, etc) and container technologies like Docker and Kubernetes. • Expertise with high-scale distributed systems, including architectural patterns for APIs and data pipelines. • Outstanding communication and collaboration skills, with a focus on solving complex operational challenges. • A passion for delivering scalable and efficient cloud services. • Familiarity with Linux operating systems. Ways to Stand Out from the Crowd: • A track record of leading engineers to successful delivery and operations of high-performance cloud services at Internet scale. • Experience operating NVIDIA datacenter GPUs. • Strong debugging and problem-solving skills in distributed environments. NVIDIA is committed to creating an environment where diverse perspectives drive innovation. As part of the DGX Cloud team, you’ll work on cutting-edge technology that powers the future of AI and cloud computing. 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 - 425,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 18, 2025. 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. This offer from "NVIDIA" has been enriched by Jobgether.com and got a 82% flex score.

Manage global logistics execution programs, optimize partner performance, develop and implement operational improvements, and lead AI/automation initiatives in logistics. | Bachelor's degree or equivalent, minimum 8 years in global logistics/supply chain in high-tech or semiconductor industry, strong interpersonal and analytical skills, and experience managing multiple programs. | NVIDIA has an incredible opportunity in our Global Logistics Execution team to run and optimize our logistics workflows. The Logistics Execution Program Manager directs and manages in transit performance to ensure high quality service delivery for Nvidia’s global logistics network. This position will drive the latest technology to predict & mitigate service disruptions to ensure high quality service delivery to our customers. The Manager of Logistics Execution leads all aspects of partner relationships, performance, and programs for continuous improvement. This is an outstanding individual contributor role responsible for building the future in transit logistics execution platform to enable Nvidia’s growth. What you'll be doing: Responsible for the management of the logistics execution operational programs and projects, and partner performance. Setting of goals and performance objectives, and monitoring and adjusting as needed to achieve required results. Drives activities within Logistics to assure peak performance, operations efficiency, and productivity. Develop and deliver programs and projects from inception to close-out, on time and within scope and budget. Manage and maintain cost-effective delivery of all services. Develop recommendations and presentations to Executive Management on matters pertaining to operational changes, rule and process updates, incident investigation and response, long term strategies, and engineering project operations impacts. Lead the development of logistics programs, including building out future AI/automation capability. Assist in managing logistics, implementation sequence and schedules, testing, training, and operations for replacement or modification projects for command center technical systems. Collaborate in the development, implementation, and administration of business continuity plans (accidents, emergencies, service disruptions, inclement weather, natural disasters, and special events) and business continuity related communication for internal and external partners. Evaluate, develop, recommend, and communicate new or revised policies, programs and procedures that impact cross functional operations, including policies, Standard Operating Procedures (SOP), communication protocols, and business processes. Keep current with industry guidelines including consistent SOP application and usage, development of Key Performance Indicators and reporting. What we need to See: Bachelor’s degree in Transportation, Logistics, Supply Chain or a related field (or equivalent experience). Minimum of 8 years of experience in global Transportation, Logistics, Supply Chain, ideally within the high-tech or semiconductor industry. Excellent interpersonal skills with the ability to influence and align cross-functional teams and partners. Strong sense of ownership, integrity, and initiative in a collaborative and fast-paced environment. Deep analytical skills with a focus on accuracy, thoroughness, and data-driven decision-making. Strong interpersonal, planning, and prioritization skills to manage multiple programs and deadlines. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 212,750 USD for Level 4, and 160,000 USD - 270,250 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 18, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Design and maintain distributed infrastructure and build/test pipelines to support autonomous vehicle software validation and developer workflows. | 5+ years in infrastructure or platform engineering with strong Linux, Bazel, C++, Python, and cloud/container experience, plus collaboration and problem-solving skills. | NVIDIA has become the platform upon which every new AI-powered application is built. From healthcare research applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding, and NVIDIA is right in the center of this revolution. We are seeking a motivated Senior Systems Software Engineer to join our Autonomous Vehicle Infrastructure organization and participate in accelerating the validation and quality of our Autonomous Vehicle (AV) software stack, including coverage, analysis, and tooling development. This role blends infrastructure engineering with developer enablement — ensuring our build/test environments are reliable, scalable, and aligned with safety-critical standards. The ideal candidate is hands-on, adaptable, and eager to bridge infra with developer workflows in a fast-moving environment. What You’ll Be Doing • Design, deploy, and maintain distributed infrastructure to support AV software builds, simulation, and validation. • Operate and optimize Bazel-based build/test pipelines, integrating with CI/CD frameworks (e.g. GitLab, Jenkins). • Support large-scale data and service workflows with a focus on performance, scalability, and reliability. • Enable developers with tools, wrappers, and automation that improve correctness, prevent regressions, and enforce quality gates before code is merged. • Provide mechanisms for automated analysis, triage, and reporting that help developers and stakeholders act on results quickly. • Build dashboards and metrics for system health, workload quality, and resource utilization across compute and storage environments. • Communicate proactively with stakeholders, ensuring no issues are left unattended and infra evolves alongside developer needs. What We Need To See • BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience). • 5+ years of professional experience in infrastructure, distributed systems, or platform engineering. • Strong background in Linux systems, distributed systems, and infrastructure engineering. • Hands-on experience with Bazel build system and its integration into CI/CD pipelines. • Proficiency in C++, Python and Bash. • Experience with PostgreSQL and data handling at scale. • Knowledge of cloud and on-prem environments: Kubernetes, Docker, VM infrastructure. • Familiarity with logging, monitoring, and alerting stacks (Grafana, Prometheus, ELK stack). • Ability to collaborate across teams and communicate effectively with developers and stakeholders. • Problem-solving mindset: capable of debugging across the stack (infra, build system, workloads). Ways To Stand Out From The Crowd • Prior experience with coverage frameworks (lcov, gcov, VectorCAST) and delivering quality metrics in compliance-heavy environments. • Hands-on experience with static analysis tooling like Coverity, and embedding it into developer workflows. • Background in safety-critical domains like automotive, with audit-driven workflows. • Experience in requirements management tools (Codebeamer/Jama) or traceability workflows. • Familiarity with AI-assisted tooling (LLMs, code assistants, automation bots) for accelerating infra and developer workflows. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and our engineering teams are growing fast in some of the hottest innovative fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us with the next wave of validation and tooling for autonomous driving solutions. If you're passionate about autonomous vehicles, we would love 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 148,000 USD - 235,750 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 October 24, 2025.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. JR2003796

Lead complex technical programs for data center infrastructure and hardware/software development, coordinating cross-functional teams and managing product launches at global scale. | Bachelor's degree in engineering or related field, 12+ years technical program management experience, 5+ years software development, 5+ years hardware product development, deep expertise in server/network/storage architecture, and experience with large-scale distributed systems and infrastructure automation. | NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Presently, we are harnessing the boundless capabilities of AI to develop the next era of computing, where our GPU operates as the primary command center of computers, robots, and autonomous vehicles that possess an understanding of the world. Pioneering new frontiers demands insight, ingenuity, and the most skilled individuals. Becoming a member of NVIDIA entails immersing yourself in a diverse and empowering environment that motivates everyone to excel in their responsibilities. Join our group and explore the ways in which you can compose a lasting impact on the world What you'll be doing: Lead sophisticated programs focused on improving the quality and efficiency of data center infrastructure, hardware, and software domains with multi-year strategic roadmaps and cross- Drive technical execution from requirements gathering through production launch, including writing technical specifications, coordinating release schedules, and ensuring operational readiness across multiple team dependencies Own server hardware development, testing, and integration efforts for computing products, working closely with original design manufacturers and contract manufacturers on new product introductions at global manufacturing scale Partner with software development teams to build automation programs for large-scale infrastructure testing and develop solutions that enhance operational performance across highly concurrent, high-throughput distributed systems Guide enterprise network infrastructure and data center operations initiatives covering servers, storage, networking, power, and cooling systems while serving as domain leader for manufacturing test infrastructure Lead continuous improvement initiatives for engineering processes, quality management, and operational excellence while leading risk mitigation strategies and critical path oversight Build trusted partnerships across hardware teams, security professionals, supply chain, operations, and product management to drive technical decisions and resolve sophisticated multi-functional dependencies What we need to see: Bachelor's degree in Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or related technical field, or equivalent experience 12+ years working directly with engineering teams with demonstrated technical program management experience More than 7 years of practical program or project management expertise being responsible for intricate technology ventures involving teams with multifaceted strengths 5+ years of software development experience with proficiency in programming languages. 5+ years leading hardware product development and new product introduction on a global manufacturing scale Deep technical expertise in server, network, or storage product architecture and manufacturing test development Strong understanding of large-scale distributed systems, data center infrastructure, and enterprise network architecture Experience with Linux/Unix or Windows system administration, database management, and infrastructure automation Demonstrated ability to lead programs across multiple teams, handle project scope, schedule, budget, and quality, and maintain executive-level relationships Ways to stand out from the crowd: 8+ years directly leading sophisticated technology projects with experience designing and architecting highly reliable, scalable systems Track record launching AI or ML server products with new technology enablement such as Liquid Cooling Experience leading manufacturing test engineering teams within the server, network, or storage sector with expertise in Design for Excellence methodologies Knowledge of security engineering, cryptography, quality management systems, and supply chain operations Demonstrated single-threaded ownership of strategic programs with demonstrated ability to deliver groundbreaking systems independently in fast-paced, ambiguous environments Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 18, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Building and supporting large-scale AI/HPC networking infrastructure, ensuring system performance, and engaging with customers to meet their networking needs. | Extensive experience in networking, data center architecture, and HPC/AI environments, with hands-on skills in configuring and troubleshooting advanced network hardware and protocols. | NVIDIA is looking for Senior Networking (ETH/IB) Solutions Architect to join its NVIDIA CSP Networking SA team. CSPs and Hyperscalers around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What you'll be doing: Primary responsibilities will include building AI/HPC infrastructure for a large CSP customer and their endusers. Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting. Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement. Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Provide feedback to internal teams such as opening bugs, documenting workarounds, drive customer feature requirements and suggesting improvements. What we need to see: BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. 8+ years of professional experience in networking fundamentals, TCP/IP stack, InfiniBand fundamentals and data center architecture Proficiency in configuring, testing, validating, and resolving issues in Ethernet and InfiniBand networks, especially in medium to large-scale HPC/AI environments. Advanced knowledge of HPC/AI networking protocols. Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS. Strong focus on customer needs and satisfaction. Self-motivated with leadership skills to work collaboratively with customers and internal teams. Strong written, verbal, and listening skills are essential. Ways to stand out from the crowd: Familiarity with cloud networks (AWS, GCP, Azure) is a plus. Linux or Networking Certifications. Knowledge in link level performance and diagnostics. Experience with High-performance computing architectures. Experience with GPU (Graphics Processing Unit) focused hardware/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 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 17, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Define and implement observability, monitoring, and auto-remediation strategies for DGX Cloud infrastructure and applications. | Over 18 years in technical roles with leadership experience, proficiency in cloud-native architectures, and success in delivering high-impact solutions in enterprise and cloud environments. | NVIDIA is leading the industry in delivering accelerated computing in cloud and enterprise environments. We’re a team of innovative engineers dedicated to solving some of the world’s biggest challenges, constantly driving advancements, and impacting millions of lives worldwide! As a technology leader at NVIDIA, you will own the development of DGX Cloud strategy for observability, monitoring, and remediation across all layers of infrastructure, IaaS, platforms and applications. You will define and drive the technical strategy for collecting, storing, analyzing, and model development related to observability data. Including defining the technical strategy for issue detection and notification. Most importantly, you will develop auto-remediation strategies to detect, fix, validate, and restore-to-service, components across all layers and in multiple systems. You will work with NVIDIA leadership multi-functionally to build accelerated computing infrastructure that enables customers with the highest availability and operational standards, without compromising on performance or developer experience. What You’ll Be Doing • Various Architectural Work: define and drive the technical implementation for DGX Cloud offerings in the observability, monitoring, and remediation practice. • Collaborate on Cross Domain Disciplines: drive awareness and technical strategy for the technical capabilities into DGX Cloud engineering practices. • Accelerate Integration: Guide the technical delivery into DGX Cloud systems across all delivery environments: enterprise, public cloud, and high security / isolated deployments. • Engage with External Stakeholders: Collaborate with customers, infrastructure providers, and strategic partners to ensure NVIDIA’s solutions set industry standards for availability and operational excellence of accelerated computing infrastructure and platforms. • Enablement: Ensure that DGX Cloud, our customers, and partners achieve operational excellence across all environments. • Full Software and System Lifecycle: From ideation, design, and development to continuous deployment, operations, and full lifecycle management. Lead all technical aspects of planning and continuous evolution of large technical scope. What We Need To See • 18+ overall years in technical roles with a focus on observability and monitoring for cloud infrastructure, platforms, and applications. • 5+ years of lead experience • BS/MS or higher or equivalent experience in systems / software engineering, or related engineering fields • Technical proficiency in multi-tenant data center and cloud-native architectures, with bare metal, virtualization, containerization, and higher level abstractions (IaaS, Kubernetes, Slurm), AI/ML platforms and applications. • Shown success delivering high-impact technically sophisticated solutions that achieve high levels of transparency into resource utilization, performance, and operational insights. • Technical Leadership: Ability to synthesize multi-functional needs into architecture and design while guiding internal execution across complementary teams. • Communication and Partnership: Strong collaboration and influence skills, capable of leading engineering engagement, presenting with peers, partners, and working with high performance accelerated computing customers. Ways To Stand Out From The Crowd • Application of Artificial Intelligence: Real world experience applying model development, RAG, MCP, and Agentic AI technical solutions to the problem of observability data analytics, issue identification and remediation. • Industry Expertise: Direct experience in designing, developing, delivering and operating highly available scaled (up/out) systems in enterprise and cloud environments. • Engineering Enablement: History of creating scalable processes and extensible systems that facilitate observability, monitoring, remediation as foundational capabilities employed by engineers building infrastructure, IaaS, platforms, and applications. • Open Source Collaboration: Familiarity with open source ecosystems and projects in the observability and monitoring space. Ability to collaborate and influence in open source project governance, represent NVIDIA customers and partners interest in technical alignment and direction. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate 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 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 28, 2025.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. JR2002711

Define and drive product vision, strategy, and roadmap for genomics software, engage with customers and partners to gather insights, and lead product delivery and go-to-market efforts. | Requires 8+ years of product management experience with deep expertise in computational biology, bioinformatics, sequencing technologies, AI in genomics, and advanced technical knowledge in genomics software and workflows. | NVIDIA seeks a highly technical, collaborative Product Manager to drive the roadmap, future product discovery, and delivery of accelerated libraries and tools for Genomics applications including Parabricks, a scalable genomics software suite for secondary analysis that provides GPU-accelerated versions of trusted, open-source tools. You will work with software and hardware developers, research scientists, and the user community to gather requirements, set product roadmaps, and provide go-to-market strategies. This role requires expert knowledge of multi-omics (genomic, transcriptomics, methylation, and proteomics) analysis, workflow deployments, AI and HPC. Your multidisciplinary expertise in product management, genomics applications, AI, and GPU computing will be key to NVIDIA's impact. We need a self-starter to continue our growth in genomics! Do you have the rare blend of technical and product skills? If you are passionate about groundbreaking technology, we would love to learn more about you! What you'll be doing: Define and nurture product vision, strategy, and roadmap for Parabricks and underlying libraries for genomics data generation and processing in the life sciences. Gather insights from key customers, developers, and partner with Solutions Architects, Alliance Management, and Business Development on broader market signals to set requirements and priorities. Work closely with engineering leadership to deliver on our product roadmap. Engage key customers, academic collaborators, bioinformatics developers, and industry partners to capture insights, validate concepts, and drive adoption. Define the go-to-market strategies and contribute to product positioning and sales enablement. Work with product marketing and technical marketing engineering to assist in creating technical content that communicates your products' value proposition to the world. What we need to see: Masters, PhD, or equivalent experience in computational biology, bioengineering, or biophysics. Deep expertise in sequencing technologies and bioinformatics pipelines, including related emerging areas (graph genomes). Demonstrated understanding of algorithmic and bioinformatics applications in genomics, including genome assembly, secondary analysis, and applications in diagnostics and precision medicine. 8+ or more years of product management experience, with proven delivery of software tools, libraries, and SDKs. Experience with deep learning in genomics including applications in variant calling, pathogenicity detection, and genomic foundation models. Outstanding interpersonal and communication skills, with a demonstrated ability to articulate concepts and value propositions to diverse audiences. Ways To Stand Out From The Crowd Hands-on contributions to multi-omics tooling used by the community. Background with large scale genomics workflows and cloud deployments. Domain knowledge and the ability to generate meaningful biological insights and interpretations from complex, multi-omic datasets are a plus. Experience in the analysis and interpretation of copy number variation, gene fusions, transcriptome (RNA-seq) data, whole genome sequencing (WGS), methylation assays, or proteomics experiments. Experience in zero-to-one product ideation and delivery, productizing bioinformatics and AI/ML models for genomics applications. Background in multi-species applications of genomics in biomedicine, bio-manufacturing, or agriculture and experience with NVIDIA GPUs (CUDA) and our HPC+AI software stack. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent 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 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 November 17, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Define and drive architecture for high-volume GPU SoC products, lead cross-functional teams, and provide technical leadership and mentorship. | 15+ years in SoC architecture or similar leadership roles, strong technical expertise in SoC systems, Master's degree or equivalent, and excellent leadership and communication skills. | A key part of NVIDIA's strength is to innovate how we architect and develop our GPU for the changing AI and accelerated workloads. We are constantly looking for ways to improve the scalability of our design, infrastructure and methodology. We are looking for a Principal System Architect with a wealth of experience in shaping and bringing to fruition high-performance, high-volume System-on-Chip (SoC) platforms. The ideal candidate will bring deep technical expertise across multiple SoC domains, along with strong leadership and communication skills. This senior technical position entails hands-on architectural definition and the capability to influence and drive multi-functional engineering teams. What You'll Be Doing • Define and drive architecture for complex, high-volume GPU products, ensuring they meet our ambitious performance and scalability goals. • Perform and guide power and performance evaluation, trade-off assessments, and architectural modeling to identify optimal chip, package and system construction. • Lead improvements in architecture, methodology and tools to improve the scalability of our system, collaborating closely with cross-functional engineering teams. • Specify and optimize SoC subsystems such as memory architecture, test infrastructure and power management. • Collaborate with RTL, verification, physical design, firmware, and software teams to successfully implement and integrate system components. • Produce high-quality technical documentation of SoC architecture, specifications, and development trade-offs. • Provide technical leadership and mentorship to junior architects and engineers, encouraging a culture of excellence and innovation. What We Need To See • Over 15 years in SoC architecture development or similar technical leadership roles. • Proven track record of defining and delivering multiple high-volume SoC systems (such as CPU, GPU, modem, networking or similar). • Proficiency in evaluating power/performance and architectural modeling in high-level programming languages. • Strong understanding of SoC system fundamentals, including memory hierarchy, coherency, clocking, power domains, boot and reset, test, and debug methodologies. • Hands-on experience with silicon bring-up, debug and tuning. • Excellent interpersonal, leadership, and collaboration skills, with the ability to influence across organizations. • Outstanding documentation, written, and verbal communication skills. • Master's degree (or equivalent experience) in a relevant subject area: Computer Science, Electrical Engineering or Computer Engineering Ways To Stand Out From The Crowd • Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems • Knowledgeable in modern packaging technologies, and their costs and benefits • Knowledgeable in AI workload characteristics • Outstanding analytical and problem-solving skills with a focus on optimizing performance, power, area, and complexity. 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 November 16, 2025.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. JR2006526

Research and develop techniques to accelerate workloads on NVIDIA's computing platform, collaborate with customers and internal teams to optimize performance and influence next-generation hardware and software design. | 8+ years experience, Master's degree or equivalent, proficiency in C/C++, parallel programming (CUDA), low-level performance optimization, strong math skills, and good communication. | We’re currently seeking a Senior Developer Technology Engineer! NVIDIA's Developer Technology Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA's leadership. If you're passionate about optimizing large application workloads, eliminating system bottlenecks, and collaborating on cutting-edge technology breakthroughs, consider joining our team. What You Will Be Doing • In this role, you will research and develop techniques to accelerate top CSP workloads on NVIDIA’s computing platform including advanced CPUs, GPUs and interconnects. • Work directly with key customers to perform in-depth analysis and optimization of complex workloads to ensure the best possible performance on current and next-generation hardware. • Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures. What We Need To See • A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • You have 8+ years of relevant work experience or research. • Programming proficiency in C/C++ with a deep understanding of software design, programming techniques, and algorithms. • A background that includes parallel programming, ideally CUDA C/C++. • Hands on experience doing low-level performance optimizations. • In-depth expertise with CPU and GPU architecture fundamentals. • Strong math skills, including linear algebra, for problem-solving and performance modeling • Good communication, organization and prioritization skills Ways To Stand Out From The Crowd • Designed highly optimal parallel algorithms and data structures for applications with high bytes to compute ratio, such as processing directly on compressed data and kernel fusion. • You optimized end-to-end performance of applications spanning many layers of software, from OS to high-level frameworks. • You influenced hardware feature design leveraging your application and domain knowledge. The Developer Technology Engineer (DevTech) plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs or at relevant conferences and workshops. With visibility to our customers, the industry, and academia we are important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations. Whether you are a leading industry luminary or early in your career, the Developer Technology Team provides ample opportunity for growth in the exciting field of GPU accelerated computing! NVIDIA is widely considered to be one of technology’s most desirable employers. We have a world class team with some of the most forward-thinking and hardworking people in the world working here. Does contributing to and pushing the boundaries of state-of-the-art in GPU Accelerated Computing, HPC and Artificial Intelligence excite you? If so, 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 September 13, 2025.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. JR1999059

Developing, documenting, and debugging UEFI firmware, collaborating across teams, and supporting system verification. | 3+ years of experience in low-level system software, strong C skills, understanding of hardware and OS internals, and experience with UEFI or similar firmware. | NVIDIA is hiring engineers to work on our UEFI firmware implementation in Boulder, CO and Santa Clara, CA. We seek the best engineers with excellent C programming skills, an understanding of operating systems and kernel programming, a deep understanding of hardware architecture, and excellent communication, documentation, and planning skills. You will work closely with both hardware and software engineers to build, develop, document, and debug the UEFI software stack. You will also be heavily involved with the early modeling and simulation required to produce our world-class products, and will follow the project all the way through the development process to deployment in gaming consoles, servers, and AI devices that are used throughout the world! What You'll Be Doing • Features/code development for UEFI firmware • Document code flow, data flow, and architecture for UEFI Firmware • Debug and root cause UEFI Firmware issues thru creative thinking • Support simulation and FPGA environment bringup for UEFI Firmware • Drive and resolve issues independently across teams and subject areas • Plan and implement pre and post silicon verification of UEFI firmware • Multiple opportunities to collaborate and communicate effectively with teams from all around the globe What We Need To See • BS or MS degree in EE/CS/CE or equivalent experience • 3+ yrs of meaningful validated experience • We are looking for experience in low-level operating system functionality, specifically in areas of ARM technologies and programming is invaluable • Superb C programming and debugging skills • Excellent Interpersonal Skills • Experience with UEFI, ACPI, SMBIOS, Linux kernel are preferred • Working experience in system software, operating system internals, kernel modules, and device drivers NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and enjoy having fun, 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 148,000 USD - 235,750 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 October 4, 2025.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. JR2005155

Lead solution lifecycle ownership, provide senior technical leadership, drive pre-sales engagements, develop architectures, and collaborate across teams to promote NVIDIA's AI and accelerated computing solutions. | Bachelor's degree, 5+ years experience, senior technical leadership, hands-on AI/ML experience, pre-sales and customer engagement skills, excellent communication, and experience with RA and LVD development. | We are looking for a Solution Architect who is not only proactive and driven, but also committed to championing and advancing the NVIDIA narrative throughout our initiatives. This leader will relentlessly push our team and partners while ensuring every solution is built with NVIDIA’s innovation at the forefront. You will collaborate with multi-functional teams, including hardware, software engineering, OEM project management, and sales. What You’ll Be Doing • Taking full ownership of the solution lifecycle—from strategy through execution—emphasizing NVIDIA’s strengths and market impact. • Providing senior-level technical leadership to challenge assumptions, drive adoption of NVIDIA’s accelerated computing and AI solutions, and advance guidelines. • Driving pre-sales engagements—developing architectures, leading demos, providing deep technical expertise, and supporting the sales process. • Clearly and compellingly communicating NVIDIA’s value proposition, ensuring our technology is central to every discussion. • Collaborating with both technical and business teams while always prioritizing the NVIDIA narrative and technical excellence. • Developing and validating Reference Architectures (RA’s) and Lenovo Validation Designs (LVD’s) to accelerate deployment and customer success. • Anticipating roadblocks, championing breakthrough ideas, and driving the creation of validated architectures that differentiate NVIDIA in the market. • Identifying training needs and delivering technical training content (e.g., AI Advisor) to empower customers, partners, and internal teams. What We Need To See • Bachelor's or Master's degree (or equivalent experience) in Computer Science. • 5+ years of experience. • Proven senior-level technical leadership with the ability to challenge assumptions and influence strategic decisions. • Hands-on experience with AI, ML, and accelerated computing platforms. • Strong pre-sales experience, including technical customer engagement, solution design, and executive-level presentations. • Excellent communication skills with the ability to articulate complex technical value propositions. • Track record of global collaboration and proactive leadership. • Specialized expertise in RA’s and LVD’s development and validation. • A self-starter with the ability to operate independently and at scale. Ways To Stand Out From The Crowd • Deep expertise in enterprise solution architecture and ecosystem integration. • Experience influencing large-scale customer deployments and shaping go-to-market strategies. • Demonstrated leadership in technical training delivery and enablement programs. • Published or presented work on AI, ML, or accelerated computing architectures. • A reputation for pioneering new solutions and championing breakthrough ideas that become industry reference points. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 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 October 25, 2025.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. JR2005321

Lead product strategy and execution for NVIDIA's Omniverse Digital Twin platform focused on robotics and automation integration use cases. | 7+ years product management experience, background in robotics/automation/digital twins, strong cross-functional leadership, BS/MS in CS or Engineering. | NVIDIA is seeking a Senior Product Manager to lead strategic development of Omniverse Digital Twin capabilities for robotics and industrial automation. We need a high-impact role driving the next generation of Physical AI-enabled simulation, planning, and autonomy — helping global enterprise's design, simulate and operate more autonomous factories, warehouses, and data centers. What You’ll Be Doing Lead the product strategy and execution for NVIDIA’s Omniverse Digital Twin platform focused on Digital Twin robotics and automation integration use cases. Drive cross-functional alignment and deliver features that enable scalable, Physical AI-powered simulation solutions. • Define and manage roadmap, use cases, and user journeys for industrial digital twins • Translate customer needs into clear, prioritized requirements • Partner with engineering to drive execution and technical trade-offs • Serve as a voice of the customer across development and GTM teams • Mentor and guide junior PMs to grow product leadership capacity • POR & One-page summaries of strategic intent • Product roadmap with quarterly milestones and long-term vision • PRDs with use cases, personas, and workflows • Capability and release launch plans in coordination with GTM and engineering What We Need To See • 7+ years in product management, including experience owning sophisticated platform or developer-facing products. • BS or MS in Computer Science, Engineering, or equivalent experience. • Confident navigating cross-functional leadership and high-stakes decision-making, with the ability to lead product initiatives and drive alignment. • Background in robotics, automation, simulation, or digital twins — or a proven track record to ramp up quickly in highly technical domains. • A strategic and systems thinker, equally comfortable defining big-picture vision and execution details. • Experience in both startup and large enterprise settings; adaptable, pragmatic, and process-aware. Ways To Stand Out From The Crowd • Strong sense of purpose and ownership, with an ability to prioritize, deliver product, and encourage those around you. • Humble, collaborative, and curious, always seeking new ways to tackle problems and empower your team. For over 30 years, NVIDIA has pioneered breakthroughs in AI, graphics, and accelerated computing. At NVIDIA, you will be part of a team redefining the future of intelligent machines and digital worlds. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to outstanding growth, we are growing fast. If you're creative and with a 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 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 November 16, 2025.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. JR1997722

Develop and guide AI and simulation pipelines for robotics applications, providing technical expertise and solutions using NVIDIA products. | Requires 12+ years in graphics, simulation, or AI development, proficiency in Python and C++, experience with 3D workflows, robotics frameworks, and NVIDIA technologies, plus a relevant advanced degree. | Job Description: • Help our customers integrate and develop accelerated Simulation and AI pipelines for Robotics applications. • Act as technical authority to guide customers on solving sophisticated technical challenges by implementing end-to-end solutions using NVIDIA products, platform SDK's and libraries. • Engage with clients to guide them developing solutions for industrial digital twins, to generate synthetic data for Ai training, integrate Generative Ai workflows within their software, and enhance workflows applying NVIDIA's Omniverse Kit SDK and Cosmos. • Partner with Sales, NVIDIA Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. • Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements. • Share domain expertise with the NVIDIA solutions architect community and stay updated on advancements in robotics, AI, simulation and computer graphics. Requirements: • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. • 12+ years of work experience in development for real time graphics applications, simulation, and/or AI. • Strong programming skills in Python and a high-performance language such as C++ for efficient system development. • Practical knowledge on one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and Robotics Simulation frameworks (e.g., NVIDIA PhysX and Isaac SIM, Gazebo, MujoCo, Pybullet, Drake). • Excellent interpersonal skills to convey technical concepts to diverse audiences. • Self-starter with passion for growth, learning, and multi-functional teamwork. • Familiarity with NVIDIA Omniverse, Omniverse foundation applications like USD Composer, Isaac Sim or Isaac Lab and with relevant data formats like Pixar’s OpenUSD and URDF. • Experience with control and actuator modeling in simulation frameworks like MuJoCo for sim2real experiments. • Knowledge of industrial workflows (e.g. layout planning, motion planning and navigation, control, localization & collision avoidance, computer vision, point cloud processing) and past exposure to robotics software frameworks like ROS/ROS2 is a plus. • Knowledge of deep learning principles as they apply to robotics and familiarity with NVIDIA’s AI technologies like TensorRT, TAO or Nemo platforms. • Possess a Master’s or PhD in Computer Science, Robotics, Engineering, or related field. • Lead tech teams and guide projects. Benefits: • equity • benefits