Senior Systems Software Engineer - Infrastructure

NVIDIA•Us, CA

20h

About The Position

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!

Requirements

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

Nice To Haves

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

Responsibilities

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