Firmware Infrastructure Engineer - GPU

Reposted 13 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
148K-288K
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and enhance tools and infrastructure for GPU firmware, collaborating with hardware and software teams while optimizing solutions and automation.
Summary Generated by Built In

Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of crafting and implementing creative secure solutions in heavily resource-constrained environments? 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.

We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is designing and implementing world-class automation, tools, and practices to improve, unlock and accelerate the innovations of firmware that defines the cutting edge of GPU technology. In the world of firmware, where tight requirements of security, boot-time, storage space act as constraints to all solutions: Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse set of minds in the business. Your goal will be to shape the future of GPU technologies doing exactly what you enjoy: solving puzzles. If this sounds exciting and 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 and designing tooling, build systems, and regression farms

  • Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle

  • Work closely with hardware, software, infrastructure, and business teams to transform new infrastructure features from idea to reality

  • Work with leading OS and PC vendors to improve and innovate on the startup experience

  • Create, document, and automate workflows, processes, and tooling for internal-facing and external-facing team projects

What we need to see:

  • BS or MS degree in EE/CS/CE (or equivalent experience)

  • 4+ yrs experience

  • Automation experience with modern CI/CD tools

  • Sturdy technical background in cloud/distributed infrastructure

  • In depth understanding of database concepts and object modeling.

  • Strong grasp of software development lifecycle and coding practices

  • Strong Python, C, and scripting skills

  • Even stronger interpersonal skills

  • Sense of humor highly encouraged, but not required

  • Easy to work with, as you’ll constantly be engaged with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems and infrastructure

Ways to stand out from the crowd:

  • Experience with static/dynamic code analysis, tooling, and build automation

  • Experience in developing device BIOS, firmware, or other low-level software

  • Familiarity with SQL language and one or more SQL database ecosystems

  • Experience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testing

  • Passion for optimizing and unlocking the potential of yourself and others through your work

NVIDIA 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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.

Top Skills

C
Ci/Cd
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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