NVIDIA
Technology
GPUFirmwareInfrastructureEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“GPU Firmware Infrastructure Engineer at NVIDIA. Skills: GPU Firmware Infrastructure, automation, build systems, regression farms, Python, embedded programming, cloud, distributed services, CI/CD. 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”
What You'll Achieve.
accelerate the innovations defining the cutting edge of GPU technology; multiply your own and your team's output
Industry & Context.
solving puzzles; automating the creation of automation; creative solutions; debugging
What They're Looking For.
Must Have
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, Python and embedded programming skills, Exceptional communication skills: ability to define the right problem, write clear requirements, review critically, and explain trade-offs, 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 Have
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
What You'll Do.
Improve team software process and core infrastructure by enhancing
designing and supporting build systems and regression farms across a variety of platforms
and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle
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
and automate workflows
and tooling for teams and their internal-facing and external-facing projects
Identifying and stamping out toil company-wide
How You'll Work.
Team & Collaboration
Engage with hardware, software, infrastructure, and business teams; work closely with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems
Communication Scope
ability to define the right problem; write clear requirements; review critically; explain trade-offs; writing clear technical proposals; design docs; architecture decisions
Full Job Description
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 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 **What we need to see:** * BS or MS degree in EE/CS/CE (or equivalent experience) * 2+ years of relevant sof
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