Engineering Manager - OpenBMC Platform

Reposted 11 Days Ago
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Santa Clara, CA, USA
In-Office
224K-426K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage and deliver OpenBMC based manageability stack for Data Center Systems, leading a team of engineers and ensuring high quality firmware development.
Summary Generated by Built In

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.

We are looking for an excellent engineering manager to own and deliver an end to end manageability stack for Data Center Systems. We are seeking an experienced manager who is deeply technical, hands-on, and has a wide system view. You will manage a team of experts, design & build OpenBMC based manageability software stack for NVIDIA’s next generation Data Center Compute Systems. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!

What you’ll be doing:
  • Own and deliver OpenBMC based manageability stack for next generation Data Center Compute Systems.
  • Own firmware delivered to data centers in terms of quality, reliability and telemetry performance.
  • Manage and lead a distributed team of software engineers to deliver firmware stack with high quality.
  • Work with data center architects and cloud customers for correct requirements and scope implementation to ensure speed of light product development.
  • Work closely with cross functional teams to ensure scalable manageability architecture for all data centers products
  • Drive efficiency, reliability and optimization in firmware architecture from a data center view point.
  • Work closely with customers and internal teams to resolve issues at Speed of Light.
What we need to see:
  • BS, MS, or PhD in EE/CS or related field of education or equivalent experience.
  • 10+ overall years of relevant experience working on server firmware (BMC) and platform software development
  • 5+ years of experience in managing a software/firmware engineering team
  • Hands on experience with data center health management workflow. Proven record of delivering server firmware for large data centers.
  • Strong knowledge of data center management, server architecture and server manageability in data centers.
  • Strong and demonstrable skill in C/C++ and Python. Experience programming and debugging skills for server platforms.
  • Experience in SCM (e.g. Git, Perforce) and project management tools like Jira.
  • Possess excellent written and oral communication skills, good work ethics, high sense of team-work, love to produce quality work. Self-starter who loves to find creative solutions to complicated problems
Ways to stand out from the crowd:
  • Hands on experience with BMC firmware/software stack for data center health management and server manageability.
  • Proven engineering managers driving large complex problem with 25+ engineers working

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 and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 15, 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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • BS, MS, or PhD in EE/CS or related field of education or equivalent experience
  • 10+ years of relevant experience working on server firmware and platform software development
  • 5+ years of experience in managing a software/firmware engineering team
  • Hands on experience with data center health management workflow
  • Strong knowledge of data center management and server architecture
  • Strong skill in C/C++ and Python
  • Experience in SCM and project management tools like Jira

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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 AI — 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, NVIDIA is increasingly known as “the AI computing company.”

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