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.

The Senior ASIC Verification Engineer will verify high-speed coherent interconnect designs, develop verification infrastructure, and collaborate with cross-functional teams to ensure design correctness.

Design and build scalable data pipelines and infrastructure to support cloud operations, ensuring data freshness and accuracy while mentoring teams on data best practices.

Develop and improve distributed GPU computing runtimes, analyze performance of key applications, and write effective, maintainable code.

Lead product management for capacity management and marketplaces at NVCF, focusing on aligning product roadmaps, improving compute utilization, and enhancing customer engagement.

Design, develop, test, and optimize solutions for Datacenter firmware and collaborate with teams to manage GPU asset provisioning and lifecycle in cloud environments.

As a Senior Python Engineer at NVIDIA, you will design automation testing for SONiC Network OS, work with CI systems, and lead feature development.

Design and implement OpenBMC firmware for GPU server platforms, focusing on performance analysis, software quality, and security, while collaborating with hardware teams.

Lead the software and firmware debug for NVLink systems, collaborating with teams to address technical challenges and develop testing tools.

The role involves engaging with partners on NCCL, conducting performance analysis, developing tools, and providing HPC expertise. Requires strong C/C++ skills and knowledge of high-performance networking.

Develop production-quality software for NVIDIA's AI stack, analyze performance, mentor junior engineers, and innovate in deep learning applications.