nvidia

NVIDIA is seeking a creative and expert Systems Engineer to join its Automotive Vehicles team and contribute to the expansion of NVIDIA's autonomous vehicle solutions. This role involves a focused effort on productizing groundbreaking perception solutions that will redefine transportation and the self-driving car industry. You will collaborate with a global team of systems engineers, AI applied researchers, and software engineers to build world-class perception, mapping, and localization solutions, ensuring adherence to all NVIDIA and automotive standards and guidelines. The work is described as exciting, fun, and relevant, offering an opportunity to make a lasting impact.

$184k - $357k

NVIDIA is building the next generation AI-native autonomous driving architecture, integrating classical safety stacks, foundation models, and scalable AI systems into a unified production platform. This role focuses on the future of autonomous systems, moving beyond purely classical robotics or end-to-end neural networks to a deep integration of safety architectures and large-scale AI-driven systems. If you are passionate about shaping the future of autonomous systems over the next decade, this is an exceptional opportunity.

$184k - $357k

NVIDIA is seeking a Senior Applied Research Scientist to join its Curator team. This role focuses on researching, developing, and deploying deep learning models and data pipelines at scale for foundation model training. You will work on next-generation data curation and document extraction, contributing to capabilities that power NVIDIA Nemotron Parse, with an emphasis on structured content extraction, data quality, and deduplication for petabyte-scale datasets. The team is building the foundations for modern LLMs, playing a critical role in training leading open LLM models.

$224k - $357k

NVIDIA is seeking a Reinforcement Learning Engineer to join its mission in building intelligent, safe, and efficient self-driving technology. This role involves pushing the boundaries of autonomous vehicle decision-making and planning by leveraging Deep Reinforcement Learning (RL). As a world leader in AI and high-performance computing, NVIDIA offers a unique platform where innovative research meets real-world production, aiming to redefine transportation globally.

$224k - $357k

We are seeking a technical architecture expert with hands-on development experience to define and build the Retail and Consumer Packaged Goods Platform. This role involves leveraging NVIDIA's existing retail and supply chain blueprints, along with proven workflows and best practices, to architect a platform that powers digital commerce, supply chain, and intelligent stores. The platform will be built on NVIDIA's full stack, including Agentic AI and accelerated computing, and will utilize NVIDIA Nemo microservices and Nemotron open-source models, with an initial focus on Agentic AI for supply chain, digital commerce, and employee productivity.

$240k - $380k

We are building the software infrastructure for the next era of scientific discovery, believing that AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make this possible. This role involves translating complex research into software that scientists use for real discovery, working across research, engineering, and product teams. You will translate learnings from research collaborations into feedback on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics.

$140k - $270k

NVIDIA is seeking a Senior Software Engineering Manager to lead the development of a production-quality reinforcement learning (RL) ecosystem. This role involves building and extending RL post-training frameworks and the underlying systems that enable modern AI to reason, use tools, and act as agents. You will be responsible for setting strategy, building and managing a globally distributed team, and translating technical and customer signals into clear engineering priorities. The work spans various RL frameworks and their supporting systems, requiring deep systems expertise to ensure reliability and scalability across GPUs, CPUs, networking, and storage.

$272k - $431k

The DL Performance Modeling Team is seeking a Deep Learning Software Engineer to develop full-stack simulation infrastructure for deep learning applications across various GPUs. This role involves collaborating with cross-functional teams to shape the roadmap for DL hardware and software, and to rapidly assess new AI-accelerating GPU hardware and software advancements through simulation.

$152k - $288k

NVIDIA is seeking software engineers for the Tensor IR & CUDA Tile team to work on compiler technologies for NVIDIA GPUs. These technologies are central to the deep learning revolution, enabling breakthroughs in generative AI, large language models, and other critical areas. You will join a top-notch team with broad impact across the deep learning community, contributing to the next era of computing where AI drives innovation.

$152k - $242k

NVIDIA is building an RL Frameworks engineering team to develop open-source tools and infrastructure for AI researchers and post-training teams. This role focuses on the challenging infrastructure required for reinforcement learning, which enables models to reason, follow complex instructions, and act as autonomous agents. The work involves coordinating inference, rollout generation, and training across heterogeneous hardware at scale, pushing the limits of distributed systems. The team spans the full software stack, from collaborating with researchers to contributing to RL frameworks and improving distributed runtimes.

$184k - $357k