NVIDIA jobs

ML and Agentic Systems Engineer role at NVIDIA's Cosmos team, building AI-native systems where agents improve ML development pipelines. Responsibilities include agentic workflows, self-improving loops, ML pipeline design, and evaluation platforms. Requires significant ML systems experience, expert Python/PyTorch, and LLM-agent familiarity. On-site location: United States (no remote option). Requires BS/MS in CS or equivalent.

Senior Full-Stack Software Engineer for NVIDIA's DGX Cloud storage management platform. Responsibilities include Kubernetes operators, CSI plugin development, and web-based storage monitoring. Requires 8+ years web development, Node.js expertise, Kubernetes/Linux experience, and Python/Bash scripting. Remote, US-based. Salary range: $184k–$287.5k (Level 4) or $224k–$356.5k (Level 5).

Senior NPI Program Manager at NVIDIA responsible for manufacturing support of Data Center AI accelerator boards. Key duties include planning manufacturing progress, coordinating firmware/diagnostics upgrades, managing customer qualifications, devising NPI handover strategies, and driving production alignment with the factory. Requires 8+ years of program/production experience in the server industry, with emphasis on hardware, manufacturing processes, and engineering coordination.

Senior Deep Learning Software Engineer position at NVIDIA focused on designing and building PyTorch components for large-scale distributed GPU computing. Key responsibilities include optimizing PyTorch for supercomputers with thousands of GPUs, collaborating with hardware teams on GPU performance, supporting enterprise AI solutions, and contributing to the PyTorch ecosystem. Requires strong C++ systems software expertise, CUDA knowledge, and distributed parallel programming—positioning it as a systems software role rather than full-stack web application development.

Senior Manager, Engineering - Data Center Firmware at NVIDIA, based in Santa Clara, CA (onsite), leading a large firmware organization for data center compute systems. Requires 12+ years in firmware/platform software, 6+ years managing engineering teams, strong technical depth in BMC/MCU systems, and ability to lead large teams through complex product cycles.