GPU Firmware Infrastructure Engineer

Do you get more satisfaction from eliminating a manual process than completing one, and enjoy jumping between high and low levels of software to do it? Are you capable of crafting creative solutions in heavily resource-constrained environments all the while articulating your approach clearly enough that both humans and AI can follow your reasoning? If so, you're primed to join our team in developing the tools and infrastructure that support the software and firmware that boot the world's best GPUs.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. If you're up for the task, we'd certainly like to hear from you!What you’ll be doing:Improve team software process and core infrastructure by enhancing, designing and supporting build systems and regression farms across a variety of platformsDesign, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycleEngage with hardware, software, infrastructure, and business teams to grow new firmware and infrastructure features from idea to realityInvent and build AI-powered workflows that multiply your own and your team's outputCreate, document, and automate workflows, processes, and tooling for teams and their internal-facing and external-facing projectsIdentifying and stamping out toil company-wideWhat we need to see:BS or MS degree in EE/CS/CE (or equivalent experience)2+ years of relevant software development experience Automation experience with modern CI/CD toolsSturdy technical background in cloud and distributed servicesFundamental understanding of database concepts, object modeling, SQL or non-SQLFirm grasp of software development lifecycle, reliability engineering and scalability thinkingStrong Python and embedded programming skillsExceptional communication skills: ability to define the right problem, write clear requirements, review critically, and explain trade-offsSense of humor heavily encouraged, but not requiredStrong 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 subsystemsWays to stand out from the crowd:Experience in developing device BIOS, firmware, or other low-level embedded softwareTrack record of writing clear technical proposals, design docs, or architecture decisions that others have acted on independentlyExperience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testingExperience using AI-assisted development tools: knowing when to trust, when to verify, and when to throw away the outputPride and passion evident in your workNVIDIA 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 on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until May 3, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse 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.