Senior Firmware Engineer - Embedded Controller

Reposted 4 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop firmware for embedded controllers, collaborating with vendors and hardware teams, and ensuring product compatibility with NVIDIA products.
Summary Generated by Built In

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — 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, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.

We are looking for a strong technical Firmware engineer to own firmware development for embedded controllers. You will work with various stakeholders internally and externally, to understand requirements, implement features, debug issues, and provide technical support to partners and customers.

What you’ll be doing:

  • Designing, implementing, and delivering Embedded Controller (EC) firmware for notebooks

  • Integration of EC firmware with other platform firmware

  • Provide technical support to the EC Chip vendors and OEMs/ODMs

  • Partnering with the EC Chip vendors to ensure products work best with NVIDIA products

  • Working with hardware teams to review HW architecture & schematics.

  • Collaborate with QA/Test architects to produce proper test tools and automation for qualifying firmware.

  • Develop collaterals for EC chip vendors and OEMs/ODMs

What we need to see:

  • Bachelor’s Degree or higher in Electrical Engineering or Computer Science (or equivalent experience), and 5+ yrs of proven experience, with demonstrated strong ability as individual contributor.

  • Experience implementing firmware in ARM Architecture. Experience implementing system software in a Linux OS environment

  • Experience implementing Embedded Controller (EC) firmware. Solid experience in C/C++ development

  • Solid understanding of low-level interfaces like GPIO/I2C/SPI/eSPI/PCIe/JTAG etc. PCIe enumeration, IO at platform level for notebooks.

  • Experience working closely with HW teams, ODMs and vendors to introduce and support notebooks.

  • Background in python for scripting, and debugging skills in embedded Linux operating environments.

  • You should possess excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work and a commitment to finish your tasks every single day. You are a self-starter who loves to find creative solutions to exciting problems.

Ways to stand out from the crowd:

  • Experience in Zephyr OS

  • Expertise in Arm embedded architecture.

  • Experience in supporting Windows on Arm platforms.

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 and autonomous, 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 152,000 USD - 241,500 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 May 7, 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.

Skills Required

  • Bachelor's Degree or higher in Electrical Engineering or Computer Science
  • 5+ years of proven experience in firmware development
  • Experience implementing firmware in ARM Architecture
  • Experience in Linux OS environment
  • Solid experience in C/C++ development
  • Understanding of low-level interfaces like GPIO/I2C/SPI/eSPI/PCIe/JTAG
  • Experience working with HW teams and vendors
  • Background in Python for scripting
  • Excellent written and oral communication skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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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