Senior Firmware Release Lifecycle Infrastructure Architect

NVIDIA, the pioneering force behind GPU technology and AI computing, is seeking a Senior Firmware Release Lifecycle Infrastructure Architect to join their Datacenter Platform Software team. This role sits at the intersection of firmware development and infrastructure architecture, focusing on managing the end-to-end firmware lifecycle for NVIDIA's cutting-edge compute servers.

The position offers an opportunity to work with NVIDIA's DGX, HGX, and MGX servers, which are at the forefront of enterprise AI infrastructure. As an architect, you'll be responsible for designing and implementing sophisticated systems that handle firmware packaging pipelines across multiple platforms and SKUs. This involves creating secure, validated firmware bundles that can be deployed across NVIDIA's extensive range of GPU servers, blade systems, and full-rack solutions.

The role requires a unique blend of technical expertise, including advanced Python programming, Linux system administration, and modern DevOps practices using tools like Jenkins, Docker, and Kubernetes. You'll be working with cross-functional teams, including firmware, hardware, software, and QA, to deliver robust solutions that can scale across numerous products and variants.

What makes this role particularly exciting is its impact on NVIDIA's infrastructure. You'll be responsible for developing critical systems that ensure the reliable deployment of firmware updates across NVIDIA's product line, directly contributing to the company's position as a leader in AI computing infrastructure. The role offers competitive compensation, with a base salary range of $184,000 to $287,500, plus equity and comprehensive benefits.

The ideal candidate will bring 8+ years of relevant experience, strong architectural design skills, and deep knowledge of firmware workflows and lifecycle management. Experience with protocols like MCTP, PLDM, and Redfish, as well as familiarity with common firmware stacks like OpenBMC and BIOS/UEFI, would be particularly valuable. This is an excellent opportunity for a senior technologist who wants to work at the cutting edge of AI computing infrastructure while solving complex technical challenges at scale.