Manager, Distinguished Engineer - DGX Systems Software

About this role

NVIDIA DGX systems are the foundation of the world’s most advanced AI infrastructure—purpose-built servers, workstations, and personal AI computers that bring together GPUs, CPUs, NVLink, NVIDIA Networking, and a fully optimized AI software stack.

We are seeking an engineering leader responsible for end-to-end delivery of every DGX compute system—from firmware through the AI stack to customer deployment. You will ensure each DGX product ships as a production-ready system where firmware, OS, drivers, CUDA, networking, and AI applications work together seamlessly, while driving architecture and roadmap for next-generation platforms.

What you’ll be doing:

• End-to-End Stack Readiness: Ensure every DGX platform is ready for the full NVIDIA software stack—firmware, DGX OS, GPU drivers, CUDA toolkit, DCGM, DOCA/OFED, and management tools—as a validated, production-quality product. Own the GA SW/FW release process delivering firmware bundles, BaseOS ISOs, and release notes to OEM/OSV partners. Ensure platforms support AI agents like NemoClaw, Hermes agents, NIM microservices, and workloads customers expect out of the box.
• Platform Firmware Development: Lead development of the manageability firmware stack (BMC, BIOS) for all DGX platforms. Ensure firmware from partner teams (GPU, CPU, networking) integrates correctly at system level. Manage 3rd-party vendors and drive platform requirements (NVPOR) across all firmware areas.
• Validation Strategy: Define validation strategy proving each DGX platform is production-ready: end-to-end system validation including firmware regression, NVQual certification, DL workload performance, OS/CUDA stack testing, multi-user scenarios, power/thermal validation, and field upgrade reliability. Establish quality gates and zero ship-stopper discipline.
• Platform Bring-Up & Architecture: Drive platform bring-up for each new DGX system—coordinating first boot across new silicon (CPU, GPU), board design, and firmware teams. Own architectu...