NVIDIA

Manage and lead a team developing accelerated image and data processing solutions, ensuring project goals and collaboration. | Requires 5+ years of experience including 3+ in team management, proficiency in C++ and Python, and experience with image processing and parallel architectures. | We are now looking for a Software Engineering Manager for our Image and Data Compression Libraries. Are you passionate about leading teams developing brand-new technology? Have you ever dreamed of elevating engineering practices to the next level? As a global leader in technology, NVIDIA's innovative work in artificial intelligence and deep learning is redefining industries from image classification to natural language processing. Join us in building software that powers the future and impacts millions worldwide. Work directly with a community of creative engineers and collaborate on projects that push the boundaries of what's possible. What you'll be doing: In this role, you will be responsible for managing a team of highly skilled engineers, focusing on the development of an accelerated image and data processing solutions. • Lead and empower your team to successfully conduct projects that meet both internal and external customer needs. • Build and maintain a project roadmap that aligns with our daring goals and customer expectations. • Determine project goals and scope, ensuring execution and delivery. • Foster an inclusive and collaborative environment that promotes innovation and creativity. What we need to see: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience. • At least five years of overall experience, including three or more in team management, with strong interpersonal and leadership skills. • Experience in designing and testing large scale software backed with solid examples from past career. • Proficiency in C++ and Python, showcasing your technical versatility. • Strong communication skills, enabling direct contact and effective collaboration with the open source community. Ways to stand out from the crowd: • Experience with image processing concepts and algorithms (e.g. geometry transformations, filtering, morphological operations, color models, etc.) • Knowledge of image and data compression formats and algorithms (e.g. jpeg, tiff, png, deflate, zStd, ANS, etc.). • Expertise in parallel programming and performance optimization on modern computer architectures (e.g., CUDA, MPI, NVSHMEM, NCCL, AVX, etc.). • Prior experience working with distributed teams, demonstrating your ability to manage and coordinate effectively across different locations. 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 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 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.

Support planning and execution of data center projects through coordination, documentation, and team collaboration. | Pursuing a degree in Construction Management, Project Management, Business Administration, or related field with relevant experience, and skills in AutoCAD, JIRA, and Microsoft Office. | NVIDIA's cloud data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our data centers is the ability to engineer mechanical and electrical designs in close coupling to NVIDIA's industry-leading GPU and DGX products. We are seeking a Data Center Construction Project Management Intern to help develop and build our next-generation data centers! As a Project Management Intern at NVIDIA, you'll have the opportunity to collaborate with our vibrant team and immerse yourself in the world of data center projects. This internship offers a dynamic opportunity to contribute to impactful initiatives within our innovative organization. What you will be doing: • Collaborating with seasoned project managers to support the planning and execution of data center projects. • Assisting in coordinating project activities, ensuring timely delivery, and adherence to project timelines. • Contributing to project documentation, including reports and progress updates. • Engaging in team meetings, providing valuable input on project status and potential challenges. • Gaining hands-on experience in project coordination, resource allocation, and risk management. What we need to see: • Pursuing a Bachelor's or Master's degree in Construction Management OR Project Management, Business Administration, or a related field with relevant construction experience. • Possessing strong organizational and communication skills. • Demonstrating the ability to work collaboratively in a fast-paced team environment. • Showing eagerness to learn and contribute to the success of data center projects. • AutoCAD, JIRA, and Microsoft Office experience. Ways to stand out from the crowd: • Having exposure to project management software and tools. • Having previous internship or coursework related to project management. • Demonstrating leadership skills in extracurricular activities or projects. • Previous experience with/knowledge of data center infrastructure and technologies. • Proving the ability to handle multiple tasks and prioritize effectively. We are widely considered to be one of the technology world's most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working for us. Due to outstanding growth, our best-in-class teams are rapidly expanding, so if you're creative and autonomous with a real passion for technology, we want to hear from you. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Internbenefits. Applications for this job will be accepted at least until December 14, 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.

Developing full-stack solutions, API integration, and cloud-based data processing. | Extensive experience in software engineering, proficiency in GPU programming, and understanding of performance profiling and multi-processor systems. | NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise in GPU-programming and compilers that is proficient in parallel and distributed programming. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering, and relish the chance to impact the future of the industry, this role may be perfect for you. What You'll Be Doing: Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology Discussing and refining software designs and implementation strategies with peers Improving processes and infrastructure to accelerate our development What We Need To See: Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience 5+ years of experience Ability working on large-scale software projects, and a proven track record of building performant and robust production software Proficiency in GPU-programming and a solid understanding of performance profiling, multi-processor systems, and compiler fundamentals Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges Strong communication and collaboration skills Ways To Stand Out From The Crowd: Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures A passion for system designing and a focus on improving extensibility Familiarity with FPGA programming and HDLs Deep understanding of compiler toolchains, specifically LLVM/MLIR NVIDIA is widely considered to be one of high technology's most desirable employers. Our inventions have revolutionized parallel computing and our GPUs are being used in many of the largest high-performance computing projects around the world. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to create an environment where we can do our life's best work. If you're creative, autonomous, and highly 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 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 December 14, 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.

Develop and optimize Python-based data processing frameworks for GPU-accelerated environments. Collaborate with teams to build and evaluate proof of concepts and develop production-level tools for LLM training. | Candidates should have an advanced degree in a related field and at least 5 years of experience in Python library development. Proficiency with LLMs, RAG pipelines, and the PyData ecosystem is essential. | NVIDIA is seeking a Python Software Engineer to further our efforts to GPU-accelerate data engineering for Large Language Model (LLM) tools and libraries. This role is pivotal in accelerating preprocessing pipelines for high-quality multi-modal dataset curation. The day-to-day focus is on developing efficient, scalable systems for deduplicating, filtering, and classifying training corpora for foundation model LLMs, as well as ingesting and prepping datasets for use in Retrieval Augmented Generation (RAG) pipelines. Fundamental to these efforts are iterative testing and improvement in system cost, speed, & accuracy through micro-optimization, prompt engineering, fine-tuning, and applying new research. The ideal candidate is happiest releasing early and often! They court user feedback with an ear open to the spirit of related feature requests. They are comfortable objectively evaluating the latest AI models and frameworks with an eye on acceleration potential. Would you like to run your training & test experiments on our supercomputers on thousands of GPU? Come work with us! What you'll be doing: Develop and optimize Python-based data processing frameworks, ensuring efficient handling of large datasets on GPU-accelerated environments, vital for LLM training. Contribute to the design and implementation of RAPIDS and other GPU-accelerated libraries, focusing on seamless integration and performance enhancement in the context of LLM training data preparation and RAG pipelines. Lead development and iterative optimization of components for RAG pipelines, ensuring they demonstrate GPU acceleration & the best performing models for improved TCO. Collaborate with teams of LLM & ML researchers in the development of full-stack, GPU-accelerated data preparation pipelines for multimodal models Implement benchmarking, profiling, and optimization of innovative algorithms in Python in various system architectures, specifically targeting LLM applications. Work closely with diverse teams to understand requirements, build & evaluate POCs, and develop roadmaps for production level tools and library features within the growing LLM ecosystem. What we need to see: Advanced degree in Computer Science, Computer Engineering, or a related field (or equivalent experience). 5+ years of Python library development experience, including CI systems (GitHub Actions), integration testing, benchmarking, & profiling Proficiency with LLMs and RAG pipelines: prompt engineering, LangChain, LlamaIndex Deep understanding of the PyData & ML/DL ecosystems, including RAPIDS, Pandas, numpy, scikit-learn, XGBoost, Numba, PyTorch Familiarity with distributed programming frameworks like Dask, Apache Spark, or Ray Visible contributions to open-source projects on GitHub Ways to stand out from the crowd: Active engagement (published papers, conference talks, blogs) in the data science community Experience with production-level data pipelines, especially SQL-based Experience with software packaging technologies: pip, conda, Docker images Familiarity with Docker-Compose, Kubernetes, and Cloud deployment frameworks Knowledge of parallel programming approaches, especially in CUDA C++ With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Data Science. If you're a creative engineer who enjoys autonomy and shares our 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 148,000 USD - 235,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 14, 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 optimize agentic AI systems within the CUDA ecosystem, collaborating across hardware, software, and algorithm teams. | 10+ years experience in AI systems development, strong C/C++ and Python skills, GPU programming experience, and a relevant advanced degree. | 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 are looking for outstanding Senior AI Engineer - High Performance AI to build groundbreaking multi-agent systems for the CUDA ecosystem. We build innovative agentic runtimes and compiler-integrated orchestration that work together with NVIDIA's software stack to provide comprehensive acceleration for modern agent workloads powered by foundational models. As a member of the team, you will develop new agent abstractions, GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning, tool-use, code generation, and other high-impact AI workloads. You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What You'll Be Doing • Design, build and optimize agentic AI systems for the CUDA ecosystem. • Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available. • Develop reproducible, high-fidelity evaluation frameworks covering performance, quality and developer productivity. • Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams. What We Need To See • Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred. • 10 years+ industry or academia experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks. • Strong C/C++ and Python programming skills; solid software engineering fundamentals. • Experience with GPU programming and performance optimization (CUDA or equivalent). Ways To Stand Out From The Crowd • Track record building/evaluating deep learning models, coding agents and developer tooling. • Demonstrated ability to optimize and deploy high-performance models, including on resource-constrained platforms. • Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results. • Publications or open-source leadership in deep learning, multi-agent systems, reinforcement learning, or AI systems; contributions to widely used repos or standards. • Experience leading projects end-to-end, mentoring small teams; ability to drive concepts to production. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 1, 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. JR2006967

Design and build PyTorch components for large-scale GPU systems, collaborate with hardware/software teams, and support production AI solutions. | 3+ years deep learning experience, BS in CS or Engineering, proficiency in C++, strong systems software knowledge, and distributed parallel programming experience. | We are now looking for a Senior Deep Learning Software Engineer, PyTorch. NVIDIA is hiring software engineers to design and build tools used by AI engineers across the world to design, develop, and deploy AI applications scalable across thousands of GPUs. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform as well as directly contributes to PyTorch, a premiere deep learning framework. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate internationally with the PyTorch community to develop the best AI platform in the world. What you will be doing: • Design and build PyTorch components that run efficiently on supercomputers with 1000s-100ks of GPUs. • Collaborate with NVIDIA’s hardware and software teams to improve the overall GPU performance in PyTorch. • Design, build and support production AI solutions used by enterprise customers and partners. • Work with internal applied researchers to improve their AI tools. What we need to see: • BS in Computer Science or Engineering (or equivalent experience). • 3+ years professional experience in deep learning. • Proficient with C++ programming. • Strong understanding of systems software and interfaces. • Demonstrated experience with Thread and Distributed Parallel Programming • Demonstrated background developing large software projects. • Strong verbal and written communication skills Ways to stand out from the crowd: • Contributions and participation in the open source community. • Familiarity with deep learning compilers. • Familiarity with deep learning modeling trends. • Background with CUDA Programming as well as Python. • Demonstrated experience working with multi-disciplinary teams. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, with a passion to impact AI development worldwide, 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 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 November 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. #deeplearning

Design and maintain scalable financial data systems ensuring transactional integrity, compliance, and automation. | Requires 5+ years in building large-scale data pipelines, proficiency in Golang and Java, and experience with cloud-native operations. | At NVIDIA, our Financial Systems Engineering team is at the heart of ensuring that our massive scale operates with zero friction. We are responsible for architecting and operating the end-to-end financial data lifecycle, from ingestion to reporting. Our mission is to build high-speed rails for NVIDIA's revenue, ensuring transactional integrity, idempotency, and financial accuracy across distributed systems. This team is not just about IT support; we are the guardians of financial reliability and innovation, driving zero-touch automation and enabling NVIDIA to operate at peak efficiency. What You'll Be Doing: End-to-End System Design: Design, deploy, and maintain scalable software services that ensure transactional integrity and manage the high-volume ingestion of billions of metering events. Financial Logic & Compliance: Develop complex rating engines for multi-dimensional pricing while integrating external tax engines to ensure global accuracy and regulatory compliance. Invoicing & Reporting: Build and maintain pipelines for generating immutable, localized PDF invoices that meet strict regulatory requirements. Collaboration & Delivery: Partner with cross-disciplinary teams to translate business needs into software solutions, managing project priorities to ensure timely delivery. What We Need to See: Bachelor's degree in Computer Science (or equivalent experience) with demonstrated proficiency in general-purpose programming languages. Distributed Systems Expertise: 5+ years of experience building scalable data pipelines using high-volume streaming platforms (Kafka) and processing frameworks (Spark or Flink). Agility & Initiative: Strong self-initiative with the interpersonal skills to collaborate effectively and the agility to adapt to new technologies quickly. Ways to Stand Out from the Crowd: Advanced Experience: Master's degree with 5–10 years of experience building large-scale applications, specifically within the Billing, Payments, or FinTech domains. Technical Stack Mastery: Strong coding experience in Golang and Java. Cloud Native Operations: Deep expertise with Public Cloud (AWS preferred), including Kubernetes, Docker, CI/CD, observability, and reliability engineering. 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. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 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. 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 HPC and AI technical engagements at research institutions, develop solutions based on NVIDIA platforms, and support customer success. | A PhD or 5+ years of experience in engineering, mathematics, physical sciences, or computer science, with expertise in scientific applications porting, GPU optimization, and scientific computing. | Are you a computational scientist, engineer or data scientist passionate about working on the frontiers of artificial intelligence and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to work with our customers in higher education and research. Solutions Architects are drawn from outstanding developers and scientists who enjoy helping our customers use the NVIDIA platform to make ground-breaking advances. We need people who can develop positive relationships with customers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to lead HPC and AI technical engagements at universities and research institutions. You should be comfortable working in a dynamic environment, and have experience with HPC, deep learning and GPU technologies. Your ability to work independently is important, and you will rely upon your excellent interpersonal skills during customer engagements. We expect you to work collaboratively across the entire team, including sales, program management and business development. What you’ll be doing: Engage customers with curiosity to understand their goals, strategies, and technical needs and help to deliver innovative solutions based on NVIDIA's accelerated computing platforms for ML/DL, data science and HPC. Stay abreast of the state of the art in scientific and AI computing ecosystems. Document what you know and teach others. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a customer on a whiteboard. Provide customer requirements to engineering to foster product and platform improvements. We make heavy use of conferencing tools, but 20% travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful. What we need to see: BS, MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience. 5+ years relevant work experience. Experience porting and/or optimization scientific applications targeting GPUs. Excellent communication skills particularly in the presentation of highly technical material. Enjoy life-long learning, interacting with forward-thinking people, and staying at the forefront of the technology ecosystem. Strong fundamentals in programming, problem-solving and debugging skills Excellent presentation, communication and collaboration skills Ways to stand out from the crowd: Experience working with the academic research community supporting HPC or AI Full-stack scientific computing experience including parallel programming in languages such as C/C++, Python, CUDA, OpenACC, OpenMP and MPI. Experience designing and implementing computing infrastructure to support AI and HPC workloads. Experience with orchestration and containerization tools used to manage a shared computing environment. (e.g. Slurm, Kubernetes, NVIDIA Base Command Manager, Docker, Apptainer/Singularity) 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 December 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. 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 HPC and AI technical engagements at research institutions, develop solutions based on NVIDIA platforms, and collaborate across teams. | 5+ years of relevant experience, expertise in scientific applications porting/optimization for GPUs, excellent communication skills, and a background in engineering, math, or physical sciences. | Are you a computational scientist, engineer or data scientist passionate about working on the frontiers of artificial intelligence and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to work with our customers in higher education and research. Solutions Architects are drawn from outstanding developers and scientists who enjoy helping our customers use the NVIDIA platform to make ground-breaking advances. We need people who can develop positive relationships with customers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to lead HPC and AI technical engagements at universities and research institutions. You should be comfortable working in a dynamic environment, and have experience with HPC, deep learning and GPU technologies. Your ability to work independently is important, and you will rely upon your excellent interpersonal skills during customer engagements. We expect you to work collaboratively across the entire team, including sales, program management and business development. What you’ll be doing: • Engage customers with curiosity to understand their goals, strategies, and technical needs and help to deliver innovative solutions based on NVIDIA's accelerated computing platforms for ML/DL, data science and HPC. • Stay abreast of the state of the art in scientific and AI computing ecosystems. • Document what you know and teach others. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a customer on a whiteboard. • Provide customer requirements to engineering to foster product and platform improvements. • We make heavy use of conferencing tools, but 20% travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful. What we need to see: • BS, MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience. • 5+ years relevant work experience. • Experience porting and/or optimization scientific applications targeting GPUs. • Excellent communication skills particularly in the presentation of highly technical material. • Enjoy life-long learning, interacting with forward-thinking people, and staying at the forefront of the technology ecosystem. • Strong fundamentals in programming, problem-solving and debugging skills • Excellent presentation, communication and collaboration skills Ways to stand out from the crowd: • Experience working with the academic research community supporting HPC or AI • Full-stack scientific computing experience including parallel programming in languages such as C/C++, Python, CUDA, OpenACC, OpenMP and MPI. • Experience designing and implementing computing infrastructure to support AI and HPC workloads. • Experience with orchestration and containerization tools used to manage a shared computing environment. (e.g. Slurm, Kubernetes, NVIDIA Base Command Manager, Docker, Apptainer/Singularity) 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 December 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.

Providing operational support and system monitoring for IBM i environments, managing tickets, and ensuring audit compliance. | Extensive experience in cloud infrastructure, Kubernetes, CI/CD pipelines, scripting, and cloud security, with 12+ years of hands-on experience in complex services. | 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. At NVIDIA, we are seeking an accomplished Senior System Software Engineer - Infrastructure to join our world-class Platform team. This outstanding opportunity will allow you to reshape the future of GPU Cloud computing and contribute to groundbreaking projects in the fields of Deep Learning and AI. You will decide how we effectively implement creative solutions that compete on a global scale, all while working in an encouraging, inclusive environment. What you'll be doing: Designing, deploying, and maintaining scalable AWS infrastructure using EKS, EC2, S3, and related services. Managing and optimizing Kubernetes clusters for high availability, resilience, and performance. Creating and maintaining GitLab CI/CD pipelines to automate build, test, and deployment workflows. Developing automation scripts and Infrastructure as Code (IaC) templates with Terraform. Monitoring system performance and implementing logging, metrics, and alerting through LGTM, Prometheus, Datadog, or Splunk. Implementing DevSecOps best practices, embedding security scans, compliance checks, and secret management in the CI/CD lifecycle. Supporting platform observability, diagnosing production incidents, and enhancing self-service for developer teams. Collaborating with cross-functional teams to streamline delivery and improve developer productivity. What we need to see: BS/MS in Computer Science and/or equivalent experience. 12+ years of hands-on experience building/supporting complex services. Strong hands-on experience with AWS services (VPC, IAM, EC2, EKS, Lambda, CloudWatch). Deep knowledge of Kubernetes internals, Helm charts, and container orchestration principles. Proficiency with GitLab CI/CD or equivalent pipeline automation tools. Experience implementing GitOps workflows (ArgoCD, FluxCD). Strong foundation in scripting languages such as Python, Bash, or Go. Familiarity with networking, load balancing, and security in cloud-native environments. Experience enforcing cloud and container security standards and compliance practices. Excellent documentation, problem-solving, and communication skills for cross-team alignment. Ways to stand out from the crowd: Managed multi-cloud and hybrid Kubernetes clusters across AWS, GCP, and Azure. Contributed to open-source DevOps projects, including Kubernetes and GitLab initiatives. Earned certifications such as CKA, AWS DevOps Engineer, and GitLab Certified Specialist. Applied AI/ML tools and AIOps platforms for predictive monitoring and automation. Led DevOps teams in platform engineering, chaos testing, disaster recovery, and process optimization. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We work with some of the most innovative technologies and forward-thinking, hardworking people in the world. If you are a great teammate who is inquisitive, innovative, driven to succeed, and autonomous, we want to hear from you! Join us to help accelerate the next wave of artificial intelligence! 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 December 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. 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.

Analyze and optimize performance of AI applications on large scale parallel and distributed systems, collaborate with CSPs and AI researchers, and develop system architecture and benchmarking methodologies. | 12+ years experience with large scale parallel and distributed accelerator-based systems, proficiency in Python and C++, strong background in computer architecture and AI workloads, and experience with public cloud infrastructure. | NVIDIA DGX™ Cloud is an end-to-end, scalable AI platform for developers, offering scalable capacity built on the latest NVIDIA architecture and co-engineered with the world’s leading cloud service providers (CSPs). We are seeking highly skilled Parallel and Distributed Systems engineers to drive the performance analysis, optimization, and modeling to define the architecture and design of NVIDIA's DGX Cloud clusters. The ideal candidate will have a deep understanding of the methodology to conduct end to end performance analysis of critical AI applications running on large scale parallel and distributed systems. Candidates will work closely with the multi-functional teams to define DGX Cloud cluster architecture for different CSPs, optimize workloads running on these systems and develop the methodology that will drive the HW-SW codesign cycle to develop elite AI infrastructure at scale and make them more easily consumable by users (via improved scalability, reliability, cleaner abstractions, etc). What You Will Be Doing • Develop benchmarks, end to end customer applications running at scale, instrumented for performance measurements, tracking, sampling, to measure and optimize performance of meaningful applications and services; • Construct carefully designed experiments to analyze, study and develop critical insights into performance bottlenecks, dependencies, from an end to end perspective; • Develop ideas on how to improve the end to end system performance and usability by leading changes in the HW or SW (or both). • Collaborate with external CSPs during the full life cycle of cluster deployment and workload optimization to understand and drive standard methodologies • Collaborate with AI researchers, developers, and application service providers to understand difficulties, requirements, project future needs and share best practices • Work with a diverse set of LLM workloads and their application areas such as health care, climate modeling, pharmaceuticals, financial futures, Genomics/Drug discovery, among others. • Develop the vital modeling framework and the TCO analysis to enable efficient exploration and sweep of the architecture and design space; • Develop the methodology needed to drive the engineering analysis to advise the architecture, design and roadmap of DGX Cloud What We Need To See • 12+ years of proven experience • Ability to work with large scale parallel and distributed accelerator-based systems • Expertise optimizing performance and AI workloads on large scale systems • Experience with performance modeling and benchmarking at scale • Strong background in Computer Architecture, Networking, Storage systems, Accelerators • Familiarity with popular AI frameworks (PyTorch, TensorFlow, JAX, Megatron-LM, Tensort-LLM, VLLM) among others • Experience with AI/ML models and workloads, in particular LLMs • Understanding of DNNs and their use in emerging AI/ML applications and services • Bachelors or Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience • Proficiency in Python, C/C++ • Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI, …) Ways To Stand Out From The Crowd • Very high intellectual curiosity; Confidence to dig in as needed; Not afraid of confronting complexity; Able to pick up new areas quickly • Proficiency in CUDA, XLA • Excellent interpersonal skills • PhD nice to have With competitive salaries and a generous benefits package ( www.nvidiabenefits.com ), 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 outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 September 14, 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. JR1998135

Lead and coordinate complex AI and platform initiatives, ensuring strategic alignment and execution across global teams. | Extensive experience in technical program management, leadership of cross-functional teams, and familiarity with AI infrastructure and developer ecosystems. | For over 25 years, NVIDIA has pioneered visual and accelerated computing. Today, we're defining the future of AI, equipping millions with groundbreaking tools and essential training to lead a new era of innovation. We empower developers to excel in their life’s work. We’re seeking a visionary Senior Manager, Technical Program Management to shape and propel the operational heartbeat of our organization. In this role, you will orchestrate the delivery of flagship generative AI applications, foundational data platforms, and fast-growing developer ecosystems. You will partner closely with senior engineering leaders, product managers, and business team members to turn strategic ambition into predictable, high-quality execution. You will serve as one of the primary integrators for complex, cross-functional work - connecting technical decisions to business outcomes and ensuring that engineering, content, and regional teams move in sync. You excel at bringing structure to dynamic challenges, aligning diverse contributors, and guiding critical programs to success. If so, let’s talk! What you’ll be doing: • Drive end-to-end execution for high-stakes AI and platform initiatives by coordinating cross-functional teams, surfacing system-level risks, and managing sequencing and dependencies across engineering, data, and product. • Elevate delivery rigor by fostering clarity, accountability, and technical depth - translating complex system behaviors into plans that anticipate privacy, security, and infrastructure constraints. • Create and refine operational frameworks for planning, intake, prioritization, and executive program reviews to ensure transparency, alignment, and repeatable execution across the portfolio. • Work closely with program and project managers and engineering leads to translate long-term strategy into concrete, measurable programs with well-defined technical paths. • Use data intelligently, analyzing program performance, risks, and throughput metrics to provide leadership with insights and recommendations for continuous improvement. What we need to see: • 10+ overall years of progressive TPM or technical experience, including 4+ years managing TPMs or technical leads. • Bachelor’s degree in Computer Science or related technical field, or equivalent experience. • Breadth across infrastructure and software with enough programming context to evaluate technical direction, identify system risks, and guide teams through modernization and scaling challenges. • Executive-grade operational rigor with a track record in crisis resolution, regulatory compliance, and cost optimization across complex engineering environments. • Exceptional ability to bridge technical and business teams, articulating constraints and tradeoffs clearly to Legal, Finance, and executive partners. • Experience operating at global scale, coordinating engineering and compliance efforts across distributed teams. Ways to stand out from the crowd: • End-to-end leadership of high-scale, public-facing generative AI products or agentic/LLM-based systems. • Direct experience with advanced information retrieval systems, including hybrid or vector search, or agentic orchestration frameworks. • Experience using AI to automate program management workflows (status generation, risk analysis, roadmap predictions, etc.). • Deep familiarity with startup and developer ecosystems, including technical partnership or developer programs. • Demonstrated success in a Chief of Staff–style role supporting a senior engineering or product leader. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 December 6, 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.

Design and maintain system software enabling GPU communication and participate in architectural design for large-scale computing platforms. | 5+ years experience with C/C++ programming, system software development, Linux, multi-threading, networking, and OS virtualization technologies. | 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 phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for highly motivated Senior Software Engineers to work on our GPU Fabric Networking team. Our team develops and maintains software that enables communication between GPUs, that power disruptive products in High Performance Computing and Deep Learning. What you will be doing: • Design, implement and maintain system software that enables communication between GPUs. • Participate in the architectural definition and design of next-generation communication hardware and software to support large scale computing platforms. • Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs. What we need to see: • B.S/M.S/Ph.D. in computer science or a related field or equivalent experience • 5+ years of relevant experience. • Excellent C/C++ programming and debugging skills. Shell scripting experience. Python and Perl experience is a plus. • Experience writing software applications that interface with device drivers and expose associated hardware functionality. Strong understanding of computer system architecture, operating system and kernel internals. • Strong experience with Linux and comfortable working in a cross-platform environment (Linux and Windows). • Experience with multi-core / multi-process / multi-threaded programming environment. • Strong understanding of networking fundamentals and high-performance networks like Ethernet/IB. • Experience with OS virtualization technologies like KVM/QEMU/Hyper-V etc. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: • Understanding of CUDA programming model and NVIDIA GPUs. • Knowledge of memory coherence and consistency models. • Familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 December 10, 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 strategic partnerships and collaborations to drive CAE SDK adoption and evangelize NVIDIA platform. | 12+ years managing ISV partnerships or delivering software/SDKs with CAE or EDA expertise and strong 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 CAE 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 for CAE with developers and customers. 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 CAE developer and ISV strategy with cross functional teams: Product, Engineering, Marketing, and Applied Research. • Lead strategic relationships with key opinion leaders, leading ISVs, and influential researchers. • Evangelize and directly engage target collaborators. • 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. • Host developer and customer evangelism events: meetups, hackathons, lectures. • Speak at relevant scientific, technical and industry conferences. What We Need To See • BS/MS/PhD in Computer Science or Engineering or equivalent experience • 12+ 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 team(s) • 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 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. JR1999881

Lead architecture and adoption of NVIDIA accelerated computing platforms for AI workloads in CDN and edge environments, supporting customer solutions and collaborating across teams. | 8+ years in enterprise accelerated computing infrastructure with expertise in CDNs, datacenter architectures, AI workloads, and strong communication and collaboration skills. | 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. Passionate about crafting the future of content delivery powered by AI across the globe? We want a Senior Solutions Architect who can unite Generative AI infrastructure with Content Delivery Networks (CDNs) such as Cloudflare and Akamai. This job focuses on developing advanced architectures that optimize AI workloads for edge and distributed settings. It ensures low-latency and high-performance delivery of AI-enabled experiences. You will accelerate inference at the edge and integrate GPU platforms with CDN networks, assisting customers in building intelligent, scalable solutions that redefine content and AI interaction worldwide. We seek a motivated, hardworking, and inventive individual to support major initiatives in the CDN sector. The role centers on NVIDIAs Enterprise Platforms, GPUs, networking, and software stacks, with emphasis on platform solutions such as MLOps, DevOps, Kubernetes, and containers. You will become a trusted technical guide and leader to customers who believe accelerated computing, deep learning, complex data science, and AI represent the future of computing. What you’ll be doing: • As part of our North America Telco & CDN Solutions Architecture Team, working to drive NVIDIA technology adoption and secure build wins at key Fortune 500 customers in both Data Center, Edge, and Cloud Deployments. • Promoting the use of NVIDIAs Accelerated Compute Platforms that incorporate technologies such as virtualization, Kubernetes, Docker, and Run:AI. The role emphasizes expanding customers DevOps and MLOps skills by applying NVIDIAs advanced architectures, solutions, and blueprints to build top-tier computing platforms. • Leading customer proofs-of-concept (PoCs) of next-gen platforms for deploying Retail Industry solutions to key use-cases. • Supporting the business development team through the sales process for GPU/Network hardware/software products. Owning the technical relationship and enabling customers to build innovative solutions based on NVIDIA technologies. • Joining forces with NVIDIA Engineering, Product, and Sales departments to contribute to solution development and share customer feedback that facilitates the progress and growth of NVIDIAs products. What we need to see: • MSc or PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) • 8+ years delivering Enterprise Accelerated Computing Infrastructure (HPC, Deep Learning, Machine Learning). • Show comprehensive industry expertise in Content Delivery Networks along with experience in contemporary datacenters for enterprise computing architectures – Storage, Compute, and Software stacks. • Experience working with enterprise developers and the academic research community supporting computer vision, data analytics, or Deep Learning deployments. • Enjoy collaborating with teams across the organization, such as Engineering/Research, Sales, Product, and Marketing. • Effective verbal/written communication and technical presentation skills. Able to think creatively to debug and solve complex problems. • Self-starter with a passion for growth and an enthusiasm for continuous learning and sharing findings across the team. Ways to stand out from the crowd: • Experience in architecting large-scale edge and compute clusters. • Specialty skills in deploying large-scale GPU computing clusters to support AI workloads (Machine Learning, Deep Learning - Training and Inference). • Experience building and refining AI Content Delivery Networks, including distributed inference pipelines, edge-accelerated model serving, and low-latency model routing strategies across global regions. • Proficiency in deploying high-throughput inference workloads at scale using GPU-accelerated clusters, edge nodes, and hybrid on-prem/public-cloud infrastructures. • Hands-on experience with NVIDIA GPU software stacks (Triton, TensorRT, cuOpt, NIMs, etc.) for accelerating inference, caching, and model distribution across geographically distributed nodes. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 December 8, 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.

Guide customers in integrating and developing accelerated 3D simulation and AI pipelines for physical AI applications, acting as a technical authority and collaborating with cross-functional teams. | Extensive experience (12+ years) in real-time graphics, simulation, and AI development, with strong programming skills in C++ and Python, and familiarity with 3D workflows and simulation frameworks. | We are looking for a Solutions Architect, Physical AI & Omniverse, passionate about the ground-breaking potential of operationalized industrial digital twins for 3D simulation, generative AI, and synthetic data generation. This is the era of physical AI, and at NVIDIA, through the Omniverse libraries and SDKs, alongside the Cosmos world foundation models and Omniverse RTX rendering, is pioneering advancements in AI by enabling systems to be designed, simulated, trained, and tested in physically based realistic virtual environments. This role offers a unique chance to shape the rapid growing field of physical AI & GPU accelerated simulation by driving adoption of NVIDIA's pioneering technologies with our key customers and partners. Join us in revolutionizing physical AI! What You'll Be Doing • Help our customers integrate and develop accelerated 3D simulation and AI pipelines for physical AI 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 physical AI, generative AI, 3D simulation and computer graphics. What We Need To See • 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 3D 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. Ways To Stand Out From The Crowd • Familiarity with NVIDIA Omniverse, Omniverse template 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 (eg 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. 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 December 9, 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. JR2005441

Design and maintain distributed infrastructure for AV software builds, optimize build/test pipelines, enable developer tooling, and provide automated analysis and reporting. | 5+ years in infrastructure or distributed systems engineering with strong Linux, Bazel, C++, Python, PostgreSQL, cloud/on-prem environments, and monitoring tools experience. | 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.

Lead and coordinate complex cross-functional AI and platform initiatives ensuring high-quality execution and alignment across engineering, product, and business teams. | 10+ years TPM or technical experience with 4+ years managing TPMs, Bachelor’s in CS or related field, strong infrastructure and software knowledge, executive operational rigor, and experience with global scale engineering coordination. | For over 25 years, NVIDIA has pioneered visual and accelerated computing. Today, were defining the future of AI, equipping millions with groundbreaking tools and essential training to lead a new era of innovation. We empower developers to excel in their life’s work. We’re seeking a visionary Senior Manager, Technical Program Management to shape and propel the operational heartbeat of our organization. In this role, you will orchestrate the delivery of flagship generative AI applications, foundational data platforms, and fast-growing developer ecosystems. You will partner closely with senior engineering leaders, product managers, and business team members to turn strategic ambition into predictable, high-quality execution. You will serve as one of the primary integrators for complex, cross-functional work - connecting technical decisions to business outcomes and ensuring that engineering, content, and regional teams move in sync. You excel at bringing structure to dynamic challenges, aligning diverse contributors, and guiding critical programs to success. If so, let’s talk! What you’ll be doing: • Drive end-to-end execution for high-stakes AI and platform initiatives by coordinating cross-functional teams, surfacing system-level risks, and managing sequencing and dependencies across engineering, data, and product. • Elevate delivery rigor by fostering clarity, accountability, and technical depth - translating complex system behaviors into plans that anticipate privacy, security, and infrastructure constraints. • Create and refine operational frameworks for planning, intake, prioritization, and executive program reviews to ensure transparency, alignment, and repeatable execution across the portfolio. • Work closely with program and project managers and engineering leads to translate long-term strategy into concrete, measurable programs with well-defined technical paths. • Use data intelligently, analyzing program performance, risks, and throughput metrics to provide leadership with insights and recommendations for continuous improvement. What we need to see: • 10+ overall years of progressive TPM or technical experience, including 4+ years managing TPMs or technical leads. • Bachelor’s degree in Computer Science or related technical field, or equivalent experience. • Breadth across infrastructure and software with enough programming context to evaluate technical direction, identify system risks, and guide teams through modernization and scaling challenges. • Executive-grade operational rigor with a track record in crisis resolution, regulatory compliance, and cost optimization across complex engineering environments. • Exceptional ability to bridge technical and business teams, articulating constraints and tradeoffs clearly to Legal, Finance, and executive partners. • Experience operating at global scale, coordinating engineering and compliance efforts across distributed teams. Ways to stand out from the crowd: • End-to-end leadership of high-scale, public-facing generative AI products or agentic/LLM-based systems. • Direct experience with advanced information retrieval systems, including hybrid or vector search, or agentic orchestration frameworks. • Experience using AI to automate program management workflows (status generation, risk analysis, roadmap predictions, etc.). • Deep familiarity with startup and developer ecosystems, including technical partnership or developer programs. • Demonstrated success in a Chief of Staff–style role supporting a senior engineering or product leader. Widely considered to be one of the technology worlds most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 December 6, 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.

Architect and plan GPU system features in collaboration with software, hardware, and verification teams, create functional and performance models in C++, and support post-silicon validation. | 8+ years experience with C/C++, knowledge of computer architecture, operating systems, and system architecture, BS/MS in related field or equivalent experience. | We are now looking for a Senior GPU system and process scheduling architect! NVIDIA is seeking outstanding system architects to design the next generation GPU system interface. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting the field of artificial intelligence and product lines ranging from consumer graphics to self-driving cars. 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. What You’ll Be Doing • As a member of the architecture team, you will be responsible for understanding how the GPU sub-system modules interoperate and interact with overall system • You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs • Create functional and performance models, often in C++, along with test plans to validate the features you design • Actively support post-silicon validation activities • Constantly learning and growing! What We Need To See • BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience • 8+ years of meaningful work experience • Work experience coding in C or C++ • Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture Ways To Stand Out From The Crowd • Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML, PCIe, AXI, NVLink, and/or CXL • Knowledge of Perl or Python 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. Do you want to work at the boundary of software, hardware, and forefront of technology? Would you love the challenge of crafting the highest performance chips in the industry? 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 August 30, 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. JR2002787

Design and implement post-training algorithms for LLMs and DLMs, improve efficiency and scalability of training pipelines and serving systems, collaborate with researchers to produce production-ready AI systems, and develop evaluation frameworks. | PhD in Computer Science or related field with 2+ years experience in machine learning, distributed systems, proficiency in Python and PyTorch, strong computer science fundamentals, and collaboration skills in research and engineering teams. | We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the future of large-scale generative AI? NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale. Our team is dedicated to advancing post-training algorithms, building efficient large-scale systems, and developing evaluation frameworks to ensure reliability and scalability. Join us to work with world-class researchers and engineers on building the next generation of AI. What You Will Be Doing • Designing and implementing post-training algorithms LLMs and DLMs. • Driving efficiency and scalability improvements across training pipelines and serving systems • Collaborating with researchers to translate cutting-edge ideas into production-ready implementations. • Exploring new paradigms for evaluation. • Demonstrating strong engineering practices, and contributing to open-source communities. What We Need To See • PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas. • 2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training. • Proficiency in Python with hands-on experience in frameworks such as PyTorch. • Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming. • Proven ability to collaborate across research and engineering teams in multifaceted environments. Ways To Stand Out From The Crowd • Expertise in post-training LLMs with novel algorithmic/data pipelines • Experience developing andscaling large distributed systems for deep learning. • Contributions to open-source LLM systems or large-scale AI infrastructure. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? 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 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 10, 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. JR2003854