Nvidia Corporation

Build scalable CI/CD frameworks, visualization tools, and AI agents to improve research productivity and GPU utilization for robotics research. | 8+ years in large-scale MLOps and AI infrastructure, strong full-stack development skills, knowledge of GPU technologies, and experience with modern web technologies. | We are seeking a Senior Software Engineer to join a new team building the foundational infrastructure for Robotics Research. This new team will work very closely with NVIDIA's Generalist Embodied Agent Research (GEAR) group. The near term focus is Project GR00T, NVIDIA's moonshot initiative at building foundation models and full-stack technology for humanoid robots. This particular position will focus on ML productivity tooling - we are looking for people who have high agency and love creating tools to make researchers more productive and GPUs more efficiently used. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Your contributions will have a significant impact on our research projects and product roadmaps. What you'll be doing: • Build highly scalable, robust, and efficient CI/CD frameworks. The workload is data intensive and requires CPU/GPU heterogeneous computation. • Build world-class visualization tools for analyzing and optimizing for all our datasets and compute jobs (across 10s of thousands of GPUs) • Develop and apply AI agents to significantly improve programming efficiency within the team, and decrease the human effort in fixing job failures • Overall, collaborate with researchers to gather requirements, understand tooling / visualization / automation needs, and deliver full-stack solutions that move the needle with speed of light. What we need to see: • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience • 8+ years of full-time industry experience in large-scale MLOps and AI infrastructure. • Strong experience in full-stack software development, with a focus on building CI/CD or visualization tools. • Proficient in both front-end and back-end programming with Python, JavaScript, SQL, or similar. • Familiar with modern web front/back end technologies like React, Node.js. • Knowledge of GPU technologies like CUDA and NCCL • Bonus: experience with PyTorch, Ray, Kubernetes Ways to stand out from the crowd: • Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field • Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment • Strong experience at building and operating large-scale tooling infrastructure in production • Strong background and curiosity in frontier AI research NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models! 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 October 5, 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 to design and develop scalable cloud services and APIs for GPU telemetry ingestion and operational automation across global cloud operations. | 12+ years experience, expertise in scalable REST APIs with PostgreSQL, proficiency in Go/Java/Python, modern JS frameworks, cloud and container tech, distributed systems, and strong communication skills. | 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, Java, 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 October 5, 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.

Collaborate with global research teams to deploy and optimize generative AI software for scientific discovery and provide feedback to engineering teams. | 5+ years experience with AI/ML models using Python or C++, deep knowledge of GenAI architectures, and business-level English plus Japanese communication skills. | Generative AI is revolutionizing ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of GenAI models and tools such as ClimaX, GenSLM, MatterGen, etc are some exemplars of adapting GenAI for scientific research and discoveries. We are now looking for a senior Application engineer to work with leading science and research institutes in Japan, promoting the adoption GPU-accelerated computing solutions-including machine learning, deep learning, and especially generative AI for scientific discovery and research. Do you enjoy working with top researchers who are coming up with innovative model architectures and workflows for GenAI for Science ? Do you find it exciting to help collaborators solve problems in training, scaling and deploying GenAI models at scale? If converting a small proof of concept into an inspiring solution for the larger community is exciting, then we encourage you to apply! What you'll be doing: • Work alongside research teams worldwide adopting NV's GenAI SW for scientific data/models • Debug, profile and recommend optimizations • Provide customer feedback back into engineering teams on improving of NV's GenAI SW for science research and discovery. • Participate in Gen AI hands-on hackathons/workshops that drive adoption of NV's GenAI SW stack in the scientific community What we need to see: • Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. • Degree or equivalent experience in Computer Science, Applied Mathematics, or related engineering field (Ph.D. or Masters preferred) • 5+ years hands-on experience developing, optimizing and running AI/ML models or LLMs using popular frameworks (PyTorch, or similar), and languages (C++, Python) • Deep understanding of Gen AI model architectures (GPT-x, Llama, MoE, etc) • Ability to work independently and as part of a globally distributed team. Ways to stand out from the crowd: • Expertise in deploying large-scale training and inferencing pipeline • Hands-on experience with customizing AI models for multi-modal scientific data • Contributions to cornerstone research papers or open-source projects involving GenAI/AI for science applications • Experience with complex workflows integrating simulation, AI models/GenAI models and running them on large scale HPC systems 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 124,000 USD - 195,500 USD for Level 3, and 144,000 USD - 230,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 20, 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.

Develop methodologies and tooling for testing sufficiency, analyze naturalistic driving data, automate workflows, and create dashboards to track testing coverage. | 8+ years experience, strong Python and SQL skills, data/statistical analysis experience, excellent problem solving and communication skills. | NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's powered by great technology-and outstanding 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, encouraging 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 thrilled to present an outstanding opportunity to join NVIDIA as a Senior Systems Software Engineer. This role is perfect for an ambitious individual who is passionate about driving world-class safety and security solutions within our engineering teams through the use data analytics. You will have the chance to work on transformative projects in a collaborative and encouraging environment, helping to craft the future of computing. What you'll be doing: • Developing methodologies and tooling to demonstrate the sufficiency of on-road and offline testing. • Performing analyses measuring exposure rates of objects, events and environments in naturalistic driving data. • Working jointly with test engineers, developers, and other team members to identify and close coverage gaps. • Automating workflows and reports to support a growing number of product releases and deployments. • Creating dashboards and visualization tools to track testing coverage and identify trends. • Develop and share standard methodologies in analytics and data driven validation with colleagues. What we need to see: • BS/MS or equivalent experience in engineering, science, or a related technical field • 8+ years of experience • Strong background in python and SQL or similar languages while working with large datasets • Previous experience in data or statistical analysis • Excellent problem solving skills and attention to detail • Strong communication skills with the ability to convey data meaningfully to drive decisions Ways to stand out from the crowd: • Have a track record of building scalable data pipelines and analytics platforms. • A background of 2+ years in autonomous vehicle validation or development. Join us at NVIDIA and make a lasting impact on the world! 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 20, 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

Research and develop GPU-accelerated high performance database and ETL applications, optimize data intensive workloads, and influence next-generation hardware and software design. | Masters or PhD in Computer Science or related field, 5+ years relevant experience, strong C/C++ and parallel programming skills, deep understanding of GPU/CPU architectures, and domain expertise in high performance databases and ETL. | NVIDIA is currently seeking a Senior Developer Technology Engineer for High-Performance Databases! Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you likeinvestigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the leading edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Developer Technology Team invites you to consider this opportunity. What you will be doing: • In this role, you will research and develop techniques to GPU-accelerate high performance database and ETL applications. • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures. • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA What we need to see: • A Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • At least 5+ years of relevant work or research experience. • Programming fluency in C/C++ with a deep understanding of algorithms and software design. • Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc. • In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem. • Domain expertise in high performance databases, ETL and data analytics • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills. Ways to stand out from the crowd: • Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark). • Background with compression, storage systems, networking, and distributed computer architectures. Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today's applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that our Devtech team have worked on: NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cuCollections. #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 September 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.

Lead and govern integrated mechanical, electrical, and automation system designs for AI-enabled data centers, collaborating across multiple engineering and construction teams to ensure innovation and execution. | Master's or Bachelor's in CS, EE, or related, 15+ years as senior technical contributor in mechanical/electrical/automation systems, expertise in AI infrastructure, and strong multi-disciplinary collaboration skills. | We are looking for a Data Center Distinguished Engineer. NVIDIA's 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 integrated system designs in close coupling to NVIDIA's industry-leading GPU products. We are seeking a Data Center Distinguished Engineer to accelerate next-generation solutions. The Distinguished Engineer will be responsible for shaping and governing the multi-horizon integration of mechanical, electrical, and automation systems within AI-enabled data centers. This role orchestrates alignment of people, processes, and technology across teams and partners - including Architecture, Engineering, and Construction and MEP organizations - to enable innovation, ensure readiness, and drive flawless execution at scale. What you'll be doing: • Provide technical leadership in coordination with product requirements and configurations of mechanical and electrical system designs. • Be responsible for the strategic development and oversight of harmonized mechanical, electrical, and automation systems for AI-enabled data centers. • Collaborate with AEC and MEP partners to align development priorities, technical standards, and integrated engineering solutions. • Advance the creation of engineering environments to support development, testing, and validation across partner ecosystems. • Provide strategic direction and integration oversight for energy generation initiatives dedicated to scaling data centers, ensuring alignment with infrastructure and transmission requirements. • Collaborate with Technical Program Management (TPM) programs to ensure initiatives are completed on time, within scope, and aligned across multiple engineering subject areas. • Provide deep technical guidance to partner engineering teams to ensure compatibility, scalability, and future-readiness. • Facilitate teamwork across R&D, peer engineering groups, and partner organizations to accelerate innovation and integration. • Participate in site selection reviews to ensure infrastructure readiness, technical feasibility, and alignment with strategic goals. • Anticipate and incorporate new technologies, market shifts, and partner capabilities into long-term strategy. What we need to see: • Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience. • 15+ years of experience as a senior technical individual contributor (Distinguished Engineer, Principal Engineer, or equivalent) in mechanical, electrical, or automation systems. • Minimum of years of experience in partner-driven engineering development, particularly with AEC, MEP, and energy infrastructure stakeholders. • Expertise in AI applications for infrastructure and data center ecosystems. • Outstanding ability to align multi-disciplinary systems across diverse collaborator groups. • Excellent communication, facilitation, and critical thinking skills. With competitive salaries and a generous benefits package, 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 growing so if you're creative and autonomous 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 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 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.