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? Do you look at a build system, a release pipeline, or a testing fleet and immediately see the three things held together with duct-tape, and the one architectural decision that would make all three unnecessary? We're looking for a senior engineer to invent, set, and construct the infrastructure and AI direction that enables us to create the software and firmware that drive 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:
Set technical direction for major platform areas, leading the architecture, roadmap, and long-term health across multiple product cycles
Design and lead infrastructure initiatives that span team boundaries, building alignment with firmware, hardware, and business partners
Own platform reliability: define SLIs and SLOs, instrument what isn't measured today, cut MTTR, and automate the incident response when the platform breaks
Find the automation opportunities nobody has asked for yet, make the case for it and deliver
Architect and invent AI-powered workflows that multiply everyone's output
Set the technical bar through design review, technical writing, and mentoring, so the team makes better decisions without you in the room
What we need to see:
BS or MS degree in EE/CS/CE (or equivalent experience)
12+ years of infrastructure, platform, DevOps, or SRE engineering
Deep expertise in modern CI/CD and test automation architecture: pipeline design, build system internals, caching, testing frameworks, and the failure modes for architectures that only appear at scale
Strong Python fluency, infrastructure-as-code experience, and scripting ability
History in distributed systems, cloud or on-prem compute fleets, containers, and orchestration (K8s or equivalent)
Strong understanding of database concepts, schema design, object modeling, SQL or non-SQL
Past ownership of cross-org production system(s) and all the lessons you've learned from supporting them
Outstanding communication, leading, and teaching skills: the ability to articulate WHY a solution is correct, write clear requirements, review critically, and guide others to understanding
History of growing other engineers, formally or informally
Ways to stand out from the crowd:
Sense of humor heavily encouraged, but not required
Track record of writing technical proposals, design docs, or architecture decisions that others have acted on independently
Experience using AI-assisted development tools: knowing when to trust, when to verify, and when to throw away the output
Experience in developing device BIOS, firmware, or other low-level embedded software
Pride and passion evident in your work
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
- 12+ years of infrastructure, platform, DevOps, or SRE engineering experience
- Deep expertise in CI/CD and test automation architecture, including pipeline design, build systems, caching, testing frameworks, and scale-related failure modes
- Strong Python fluency, infrastructure-as-code experience, and scripting ability
- Experience with distributed systems, cloud or on-premises compute fleets, containers, and Kubernetes or equivalent orchestration
- Strong understanding of database concepts, schema design, object modeling, SQL, or NoSQL
- Experience owning cross-organizational production systems and supporting them in production
- Outstanding communication, leadership, and teaching skills
- Experience growing other engineers formally or informally
- Experience writing technical proposals, design documents, or architecture decisions
- Experience using AI-assisted development tools
- Experience developing device BIOS, firmware, or low-level embedded software
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.”
