NVIDIA jobs

Lead System Software Engineer position focused on designing and implementing microcontroller firmware for NVIDIA GPU server platforms using ARM M-class microcontrollers, C/C++, and RTOS environments. The role emphasizes embedded management software, register-based communication, DMTF standards (MCTP, Redfish, SPDM, PLDM), and collaboration with hardware teams. Requires 12+ years of BMC/microcontroller firmware experience and deep embedded systems expertise (USB, I3C, DMA, interrupt handling). Offers competitive compensation and full-time employment at a leading AI computing company.

Senior Software Engineer - Resilience Engineering role at NVIDIA DGX Cloud, focused on building reliability strategy, establishing SLO programs, leading incident response for high-severity events, and implementing chaos engineering practices. The position emphasizes operational excellence, failure mode analysis, and production reliability rather than feature development. Requires 10+ years of industry experience, hands-on expertise in Go/Python, deep knowledge of large-scale system failures, and preferably prior experience at Google SRE or Meta production engineering. Remote, US-based, full-time position.

Senior Platform and EngOps Engineer – Cluster Operations role at NVIDIA focused on managing large GPU clusters connected via NVLink and InfiniBand. Responsibilities include developing deployment and provisioning automation, implementing DevOps tools, troubleshooting cluster issues, managing software/firmware updates, and collaborating across engineering teams. Requires BS/MS in CS/CE/EE or equivalent, 8+ years cluster/infrastructure administration, expert-level Ansible/Python/Shell scripting, OS/networking understanding, Linux proficiency. Located in United States, full-time. Base salary range $176k–$333.5k by level.

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 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 Customer Technical Program Manager at NVIDIA supporting technical and operational programs for key enterprise customers, cloud service providers, and OEM partners. Responsibilities include defining program schedules, translating customer requirements into actionable tasks, providing horizontal leadership across global teams, serving as primary customer interface for program execution, and managing issues through production deployment. Requires 8+ years of program/project management experience in IT/software/embedded systems with strong technical background and experience managing complex global programs.

Senior Software Engineer role on NVIDIA's AI Storage team, developing storage optimizations for GPU I/O and building C++/CUDA libraries. Responsibilities include feature development, performance optimization across storage stack and frameworks, and collaboration with research teams. Requires 7+ years C/C++/Rust/Python experience, Linux kernel/filesystem knowledge, and advanced architecture understanding. Remote, US-based. Salary: $184k–$287.5k.

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).