The Senior DevOps Infrastructure Engineer will manage GitHub Actions runners, optimize infrastructure using Kubernetes, Terraform, and promote CI/CD practices at NVIDIA.

Develop AI compiler technologies and systems for high impact machine learning workloads, collaborating with engineering teams to accelerate NVIDIA products.

The Senior Compiler Engineer will advance compiler technology, optimize performance, develop networking applications, and collaborate on solutions for NVIDIA's DPU technology.

As a DevOps Engineering Intern, you will develop and maintain infrastructure for cloud solutions, enhance CI/CD pipelines, and automate workflows while collaborating with a dynamic team.

As a Senior System Architect, you will design and model GPU components, define IP boundaries, drive architectural changes, and develop testing infrastructure in collaboration with cross-functional teams.

Design and build scalable cloud-native data services for AI workloads. Collaborate with technical teams to create innovative data storage and processing solutions.

Lead programs for GPU infrastructure, guiding engineering roadmaps, improving processes, and aligning technical strategies across teams for operational excellence.

Responsible for providing development and operational tooling for DGX Cloud services, ensuring quality and optimized SDLC, and automating deployment and management of Kubernetes components.

Administer and support Jira and Confluence for engineering teams, optimizing productivity, managing projects, troubleshooting issues, and training users.

Develop innovative AI applications for graphics and gaming, optimize deep learning models, and collaborate on cutting-edge projects. Requires strong coding skills and experience in 3D graphics.

Design and develop scalable automation solutions, APIs, and workflow systems for NVIDIA’s cloud operations, enhancing efficiency and integration.

As a PhD Research Intern at NVIDIA, you will design AI algorithms for humanoid robots, implement model training, and collaborate across teams to advance research applications.

As a PhD Research Intern, you will develop AI algorithms and models for humanoid robots, optimize AI systems, and collaborate with teams at NVIDIA.

As a Senior System Architect for GPU at NVIDIA, you'll innovate GPU architecture, optimize performance, and collaborate across teams on design and benchmarking.

Provide customer support for Linux-based cluster management software, collaborate with the development team, and perform research and development tasks.

Responsible for creating proofs-of-concept, researching and designing features for AI and HPC communication middleware, and enhancing compiler features while collaborating in a multi-national environment.

Develop and implement features for AI communication middleware and networking libraries, enhancing performance, resiliency, and scalability. Involve in research and development for high-performance computing.

Responsible for verifying high-speed coherent interconnect designs, developing verification infrastructure, collaborating with teams to ensure design correctness, and mentoring junior engineers.

The Senior ASIC Design Engineer will design and implement GPU and SoC architectures, focusing on RTL design, integration, and improving design flows.

Lead the development of AI software resiliency features for large-scale supercomputers, focusing on reliability, fault tolerance, and automation processes.