Senior Systems Software Engineer, Tegra UEFI Firmware

Posted 22 Days Ago
Be an Early Applicant
4 Locations
In-Office or Remote
148K-288K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and debug UEFI firmware, document architecture, collaborate with global teams, and support simulations in various deployment environments.
Summary Generated by Built In

NVIDIA is hiring engineers to work on our UEFI firmware implementation in Boulder, CO and Santa Clara, CA. We seek the best engineers with excellent C programming skills, an understanding of operating systems and kernel programming, a deep understanding of hardware architecture, and excellent communication, documentation, and planning skills. You will work closely with both hardware and software engineers to build, develop, document, and debug the UEFI software stack. You will also be heavily involved with the early modeling and simulation required to produce our world-class products, and will follow the project all the way through the development process to deployment in gaming consoles, servers, and AI devices that are used throughout the world!

What you'll be doing:

  • Features/code development for UEFI firmware

  • Document code flow, data flow, and architecture for UEFI Firmware

  • Debug and root cause UEFI Firmware issues thru creative thinking

  • Support simulation and FPGA environment bringup for UEFI Firmware

  • Drive and resolve issues independently across teams and subject areas

  • Plan and implement pre and post silicon verification of UEFI firmware

  • Multiple opportunities to collaborate and communicate effectively with teams from all around the globe

What we need to see:

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

  • 3+ yrs of meaningful validated experience

  • We are looking for experience in low-level operating system functionality, specifically in areas of ARM technologies and programming is invaluable

  • Superb C programming and debugging skills

  • Excellent Interpersonal Skills

  • Experience with UEFI, ACPI, SMBIOS, Linux kernel are preferred

  • Working experience in system software, operating system internals, kernel modules, and device drivers

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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative, autonomous and enjoy having fun, we want to hear from you.

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 October 4, 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

Acpi
Arm Technologies
C
Linux Kernel
Smbios
Uefi
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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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