NVIDIA is seeking a Senior Firmware Engineer to join our NIC Firmware team and help shape how firmware is built using AI. You will be part of a team rethinking firmware development from the ground up, applying AI and automation to create smarter, faster, and more scalable infrastructure for NVIDIA’s next-generation network adapters and SuperNICs. These devices power the world’s largest AI factories and data centers, and the infrastructure you build will speed up how we design, validate, and deliver them. We are looking for a creative problem solver who questions how things have always been done, sees opportunities others miss, and enjoys turning bold ideas into practical solutions. You will work at the intersection of low-level firmware, networking hardware, and AI, alongside talented engineers across firmware, software, architecture, and AI teams.
What you’ll be doing:
- Design and build AI-driven infrastructure, tools, and workflows that change how firmware for next-generation network adapters is developed, validated, and released
- Identify bottlenecks in the firmware development lifecycle and solve them with creative, unconventional approaches using AI, LLM-based agents, and intelligent automation
- Explore and prototype new ideas quickly, evaluate what works, and turn successful concepts into robust solutions adopted across teams
- Apply deep firmware and system knowledge to make sure AI-driven solutions are grounded in the real behavior of low-level hardware and software
- Collaborate with firmware, software, architecture, and AI teams to define new methodologies and set the technical direction for AI adoption in firmware engineering
- Act as a technical leader and influence engineering culture by sharing knowledge, challenging assumptions, and inspiring others to think differently
What we need to see:
- B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or Computer Science
- 5+ years of hands-on experience in firmware, embedded, or low-level software development
- Strong programming skills in C/C++
- Solid understanding of HW/SW interfaces and low-level system behavior
- A track record of solving complex technical problems in creative, original ways
- Curiosity, independence, and a passion for exploring new technologies and ideas
Ways to stand out from the crowd:
- Hands-on experience applying AI or LLMs to engineering workflows, such as agents, code generation, or intelligent automation
- Experience building tools, frameworks, or development infrastructure
- Background in networking, such as RDMA, InfiniBand, or Ethernet
- Experience driving innovation or introducing new methodologies across engineering teams
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 in the world working for us. If you’re creative and autonomous, we want to hear from you! NVIDIA is dedicated to encouraging a diverse work environment and is an equal opportunity employer. We value diversity in our employees and do not discriminate in our hiring or promotion practices based on various characteristics protected by law.
Skills Required
- Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, or Computer Science
- 5+ years of hands-on experience in firmware, embedded, or low-level software development
- Strong programming skills in C/C++
- Solid understanding of hardware/software interfaces and low-level system behavior
- Track record of solving complex technical problems creatively and originally
- Curiosity, independence, and passion for exploring new technologies and ideas
- Hands-on experience applying AI or LLMs to engineering workflows, including agents, code generation, or intelligent automation
- Experience building tools, frameworks, or development infrastructure
- Networking background, such as RDMA, InfiniBand, or Ethernet
- Experience driving innovation or introducing new methodologies across engineering teams
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.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
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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