NVIDIA jobs

Principal Software Engineer role on NVIDIA's Agent Policy Fabric (APF), building governance infrastructure for agentic systems including policy verification, projection, and audit. Responsibilities include core platform services, conformance testing, runtime integration, and security/architecture maturity. Requires 15+ years systems software/security/distributed systems experience, strong Go/Python, and policy infrastructure expertise. Remote, US-based. No compensation details provided.

Senior Software Engineer role on NVIDIA's NeMo Platform, specifically the NeMo Evaluator component for measuring and improving agentic AI systems. Responsibilities include Python APIs, SDK design, observability infrastructure, and runtime data analysis. Requires 5+ years systems software experience, expert Python skills, and experience with agentic development. Remote, US-based. No compensation details provided.

Senior Staff AI Platform Engineer role at NVIDIA, building AI-native infrastructure for enterprise products and internal tools. Responsibilities include LLM/ML infrastructure scaling, observability design, Kubernetes deep expertise, and AI-assisted engineering. Requires 10+ years cloud/platform/SRE experience, Python + systems language expertise, distributed systems debugging, and MLOps knowledge. On-site location: United States (no remote option).

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 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.