GPU Firmware Infrastructure Engineer

NVIDIA•Us, CA

About The Position

Join the GPU Firmware Infrastructure team whose mission is designing world-class automation, tools, and practices that accelerate the innovations defining the cutting edge of GPU technology. In the world of firmware, where tight requirements of security, boot-time, and storage space constrain every solution: Every. Byte. Counts. This is your chance to create waves in the industry while working alongside some of the most top-valued diverse set of minds in the business. Your job is to shape the future of GPU technologies doing exactly what you enjoy: solving puzzles and automating the creation of automation.

Requirements

BS or MS degree in EE/CS/CE (or equivalent experience)
2+ years of relevant software development experience
Automation experience with modern CI/CD tools
Sturdy technical background in cloud and distributed services
Fundamental understanding of database concepts, object modeling, SQL or non-SQL
Firm grasp of software development lifecycle, reliability engineering and scalability thinking
Strong Python and embedded programming skills
Exceptional communication skills: ability to define the right problem, write clear requirements, review critically, and explain trade-offs
Strong interpersonal skills, as you’ll constantly work closely with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems

Nice To Haves

Experience in developing device BIOS, firmware, or other low-level embedded software
Track record of writing clear technical proposals, design docs, or architecture decisions that others have acted on independently
Experience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testing
Experience using AI-assisted development tools: knowing when to trust, when to verify, and when to throw away the output
Sense of humor heavily encouraged, but not required

Responsibilities

Improve team software process and core infrastructure by enhancing, designing and supporting build systems and regression farms across a variety of platforms
Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle
Engage with hardware, software, infrastructure, and business teams to grow new firmware and infrastructure features from idea to reality
Invent and build AI-powered workflows that multiply your own and your team's output
Create, document, and automate workflows, processes, and tooling for teams and their internal-facing and external-facing projects
Identifying and stamping out toil company-wide