Senior Firmware Engineer - LPU

Reposted One Month Ago
Be an Early Applicant
Santa Clara, CA, USA
Hybrid
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Firmware Engineer, you will design, implement, and maintain firmware, optimize code paths, and collaborate with various teams to integrate systems and resolve issues in complex hardware interactions.
Summary Generated by Built In

Join NVIDIA as a Senior Firmware Engineer and be part of something truly outstanding!

In this role, you'll collaborate with a world-class team at the forefront of AI and accelerated computing technology! In this role you'll drive the development of low-level firmware powering NVIDIA’s AI-accelerator hardware. This is an opportunity to influence key technical decisions, shape system behavior, and deliver high-quality firmware for cutting-edge platforms.

What You'll Be Doing:

  • Design, implement, and maintain firmware across the product stack (bootloader, drivers, RTOS, and system services).

  • Develop firmware specifications and define clear interface behaviors across system components.

  • Profile, optimize, and validate latency-critical code paths to ensure strong performance and reliability.

  • Collaborate with hardware, silicon, system software, and AI teams to define interfaces and support system integration.

  • Debug and resolve complex system-level issues involving firmware and hardware interactions.

  • Contribute to system bring-up, validation, and continuous improvements in firmware quality and robustness.

What We Need to See:

  • B.S. in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.

  • 8+ years of professional firmware development experience on complex SoC/ASIC platforms.

  • Strong proficiency in C/C++ (C11 or later), with solid understanding of low-level hardware interaction and system programming.

  • Experience with real-time operating systems (FreeRTOS, Zephyr, VxWorks, ThreadX) and/or bare-metal firmware.

  • Hands-on experience with high-speed interfaces (PCIe Gen3/4/5, DDR4/5, SerDes, Ethernet) and common peripheral buses (SPI, I²C, UART, CAN).

  • Strong debugging and problem-solving skills across hardware/software boundaries.

Ways to Stand Out from the Crowd:

  • Experience with firmware for AI/ML hardware or datacenter-scale systems.

  • Proven ability to deliver high-quality firmware in complex, cross-functional environments.

  • Experience with system bring-up, validation, and performance tuning.

  • Familiarity with firmware testing frameworks and automation.

  • Ability to navigate ambiguity and drive effective technical solutions.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

  • B.S. in Computer Engineering, Electrical Engineering, Computer Science, or related field
  • 8+ years of professional firmware development experience on complex SoC/ASIC platforms
  • Strong proficiency in C/C++ (C11 or later)
  • Experience with real-time operating systems (FreeRTOS, Zephyr, VxWorks, ThreadX)
  • Hands-on experience with high-speed interfaces (PCIe, DDR4/5, SerDes, Ethernet)
  • Strong debugging and problem-solving skills across hardware/software boundaries

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.

NVIDIA Insights

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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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