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NVIDIA

Designs the chips and software that power AI

Senior Firmware Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • At least 12 overall years of engineering experience, including at least 6 years in engineering management.
  • Experience leading engineering managers or team leads, including hiring, coaching, and career development.
  • Embedded firmware development and debugging skills, including hardware interactions, PCI Express protocols, and silicon bringup or product integration.
  • Experience delivering engineering tools, automated validation, or continuous integration infrastructure.
  • Clear technical communication and practical planning across concurrent projects.
  • Hands-on experience building and optimizing reusable AI agent skills through evaluation, feedback, and iteration.
  • An AI-native development lifecycle mindset, backed by experience building human-on-the-loop processes with human oversight, exception handling, and clear engineering accountability.

Responsibilities

  • Lead and manage firmware teams across development, releases, and customer support, including hiring, coaching, and workload planning.
  • Partner cross-functionally with silicon design, architecture, validation, and customer engineering to resolve issues and improve product reliability.
  • Drive shared tooling, lab infrastructure, and automated testing while balancing product commitments with infrastructure investments.
  • Build AI-native workflows and human-on-the-loop processes with defined autonomy boundaries, quality gates, and intervention points.
  • Turn engineering feedback into improved agent skills and repeatable process enhancements.

Desired Qualifications

  • Firmware delivery for network adapters or switches, including link training and recovery.
  • Experience with reusable regression, lab automation, or debugging tools.
  • Experience scaling agent workflows across engineering teams with measurable improvements in quality, delivery time, or review effort.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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