Senior Firmware Engineer – AI-Driven Infrastructure
NVIDIA is hiring a Senior Firmware Engineer – AI-Driven Infrastructure. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI automation.
- Level classifies it as a senior role.
- Level lists 2,600+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
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.
How we rate this
Senior Firmware Engineer – AI-Driven Infrastructure at NVIDIA rates 62 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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