Principal Firmware Engineer - Data Center Server Management
AI summary of the role
NVIDIA seeks a Principal Firmware Engineer to own the end-to-end manageability architecture for next-generation AI supercomputing platforms in data centers.
What you’ll do
- Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia.
- Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development.
- Collaborate with other leads to design & build data center health management workflow.
- Drive reliability and optimization in firmware architecture from a data center view point.
What you’ll bring
- 15+ years of relevant experience working on server firmware (BMC) and platform software development.
- BS, MS, or PhD in EE/CS or related field of education or equivalent experience.
- Hands on experience with data center health management workflow and proven record of delivering server firmware for large data centers.
- Strong knowledge of data center management, server architecture and server manageability in data centers and strong and demonstrable skill in C/C++ and Python.
Technologies
BMC · C · C++ · Python · Git · Perforce · Jira · x86 · ARM · Grace
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
architect to own end to end manageability architecture for these products in data centers. You will work with various component leads internally and externally, drive customer use cases, align architecture with customer requirements and release best products to market. Join us at the forefront of technological advancement. What you’ll be doing: Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia. Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development. Work with internal teams to make sure requirements are designed and implemented in right way with each firmware and software module Collaborate with other leads to design & build data center health management workflow. Drive reliability and optimization in firmware architecture from a
More from the job description
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. NVIDIA GH200 superchip provides performance and productivity required for strong scaling for HPC and generative AI workload. Scale out is inherent to design of this massive superchip. We are looking for expert engineers to come and help design rack level solutions for next generation scaling AI supercomputing platforms. We are looking for a strong technical architect to own end to end manageability architecture for these products in data centers. You will work with various component leads internally and externally, drive customer use cases, align architecture with customer requirements and release best products to market. Join us at the forefront of technological advancement. What you’ll be doing: Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia. Work with data center architects and cloud cust [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 6, and 320,000 USD - 488,750 USD for Level 7. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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, nat
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