NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Do you derive more satisfaction from eliminating a manual process than from completing one? Are you the resident tool-builder and creative solution specialist on your team? We're looking for the engineer who invents, crafts and overall automates everything they touch. AI, scripts, workflow redesigns, documentation - it's all at your disposal to empower teams making the world's best firmware for the world's best GPUs. Join us, the GPU Firmware Infrastructure team, whose mission is crafting extraordinary automation, tools, and practices that accelerate NVIDIA's GPU innovation. We're responsible for the substrate: dev tools, build compute, test farms, artifact and release pipelines, secure signing services, and the observability that proves it all works. When our platforms are fast and trustworthy, every product ships faster! This is your chance to make waves in the industry while working alongside some of the most top-valued diverse set of minds in the business, building the best AI Supercomputers. If you're up for the task, we'd like to hear from you!
What you'll be doing:
Build, supervise, and improve the core infrastructure our firmware teams run on: build systems, regression farms, CI/CD pipelines, developer tooling, and the frameworks and web services that sit on top of them
Debug and resolve issues across hardware, software, infrastructure, and team processes - solving not just the present problem, but for that entire class of issue in the future
Invent and build AI-powered workflows that scale to multiply your own, your team's, or the whole company's output
Learn, document, and automate processes, services, and tooling for teams via many internal-facing and external-facing projects
Seek out, identify and eradicate toil company-wide by growing your ideas for improvements from a proof-of-concept to fully shipped and scalable solutions
What we need to see:
BS or MS degree in EE/CS/CE (or equivalent experience)
5+ years of software, infrastructure, DevOps, or SRE engineering
Hands-on experience with modern CI/CD and test automation: architecting and debugging pipelines, working inside the frameworks that orchestrate the tests (pytest or equivalent)
History in, or curiosity about device BIOS, firmware, or other low-level embedded software, and interest in building tooling for the engineers who write it
Solid understanding of the services and data behind infrastructure: web services, REST APIs, relational databases and schema design (SQL, PostgreSQL)
Scalability thinking
Strong Python and comfort working in Linux shell environments
Strong communication skills: ability to articulate the sharp questions, write clear requirements, review critically, and explain trade-offs
Exceptional interpersonal and empathy skills, and the curiosity to match as you’ll work closely with both hardware and software engineers to design, develop, and debug process and tooling enhancements
Ways to stand out from the crowd:
Sense of humor heavily encouraged, but not required
A side project, open source contribution, or internal tool you built because something annoyed you enough
Track record of writing clear technical proposals, design docs, or architecture decisions that others have acted on independently
Experience with containers, orchestration, or infrastructure-as-code tooling (K8s)
Experience using AI-assisted development tools: knowing what's trustworthy, when to be diligent, and when to throw away the output
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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 or MS degree in electrical engineering, computer science, computer engineering, or equivalent experience
- 5+ years of software, infrastructure, DevOps, or SRE engineering experience
- Hands-on experience architecting and debugging CI/CD pipelines and test automation frameworks such as pytest
- Experience with device BIOS, firmware, or low-level embedded software, or demonstrated interest in tooling for these systems
- Understanding of web services, REST APIs, relational databases, schema design, SQL, and PostgreSQL
- Strong Python skills and comfort working in Linux shell environments
- Strong communication, documentation, requirements-writing, critical review, and trade-off explanation skills
- Exceptional interpersonal, empathy, and collaboration skills
- Experience with containers, orchestration, or infrastructure-as-code tooling such as Kubernetes
- Experience using AI-assisted development tools
- Technical proposals, design documents, architecture decisions, side projects, or open-source contributions
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 — 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.
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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.
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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.
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.”
