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 architectural strategy for next-generation platforms including firmware update mechanisms, system security posture, and AI application readiness.
Customer Deployment & Enablement: Ensure firmware release flows meet CSP and enterprise deployment requirements. Represent DGX platform readiness in executive reviews and strategic planning with VP/SVP leadership. Engage with industry standards bodies (DMTF Redfish, OCP).
Product Delivery Lifecycle: Own the complete DGX delivery lifecycle—system architecture, firmware development, integration, full-stack validation, GA release, and customer deployment—for every DGX product.
Cross-Org Alignment: Serve as single point of accountability for DGX platform readiness across NVIDIA—aligning GPU, CPU, networking, security, OS, and AI software teams to deliver on schedule.
Quality & Vendor Management: Own RCCA processes for field issues. Manage external vendor partnerships (AMI for SBIOS, BMC contributors) with clear quality gates and program tracking.
Team Leadership: Build and lead a world-class engineering organization. Mentor and develop leaders. Foster a culture of technical excellence, intellectual honesty, and customer obsession.
What we need to see:
BS or MS in Computer Science, Electrical Engineering, or related field or equivalent experience.
12+ overall years in systems firmware/software engineering, with 5+ years in engineering leadership.
Deep expertise in server system stack including SBIOS, BMC, OS, applications and system-level integration of complex multi-component products.
Proven track record delivering multi-generation server or data center platforms from architecture through customer deployment.
Experience managing engineering organizations across multiple geographies in a matrix environment.
Strong understanding of server hardware: CPU, GPU, interconnect, memory, PCIe, power delivery.
Experience owning end-to-end product quality—from firmware validation through full-stack system testing to field deployment.
Ways to stand out from the crowd:
Experience with NVIDIA DGX, or GPU-accelerated server platforms.Track record driving server bring-up for new silicon and system architecture redesigns.
Familiarity with DMTF Redfish, OCP standards, and server manageability ecosystems.
Experience with AI/DL workload validation and performance optimization at the platform level.Demonstrated ability to operate at VP/SVP level, influencing cross-BU strategic decisions.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 3, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.