Join NVIDIA as a Senior Firmware Engineer and be part of something truly outstanding! In this role, you'll partner with a world-class team at the forefront of AI and accelerated computing technology. Located in Santa Clara, CA, you'll manage the full development cycle for low-level firmware powering NVIDIA’s AI-accelerator hardware. This is your opportunity to influence architectural directions, support a growing team, and foster strategies that substantially boost our products' quality and reliability.
What you'll be doing:
Serve as the primary technical authority for firmware across the product stack (bootloader, drivers, RTOS, application‑level services), providing vision and setting standards.
Conduct regular build reviews, pair-programming sessions, and technical talks to lift up the team and mentor junior engineers.
Translate Product Requirement Documents into detailed firmware specifications, architecture diagrams, and interface contracts.
Lead detailed profiling, optimization, and validation of latency-critical paths to ensure flawless performance and reliability.
Collaborate closely with hardware, silicon, system-software, and AI-software teams to co-design interfaces and drive integration-test strategies.
Successfully carry out methods that boost product quality and reliability while encouraging a collaborative atmosphere.
What we need to see:
B.S. in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
10+ years of professional firmware development experience on complex, high-performance SoC/ASIC platforms.
In-depth knowledge of C/C++ (C‑11 or later), assembly, and low-level hardware interaction (memory‑mapped I/O, interrupt handling, DMA, bootloader design).
Proven experience with real-time operating systems (FreeRTOS, Zephyr, VxWorks, ThreadX) and/or bare-metal firmware for latency-critical workloads.
Proficiency with high-speed interfaces (PCIe Gen3/4, DDR4/5, SerDes, Ethernet) and lower-speed buses (SPI, I²C, UART, CAN).
Understanding of server-grade power, cooling, and reliability requirements for datacenters.
Ways to stand out from the crowd:
Experience leading a firmware team to compete and succeed in ambitious projects.
Demonstrated ability to strictly adhere to deadlines while maintaining high-quality standards.
Outstanding communication skills and a proven track record of encouraging inclusive and collaborative environments.
A determined approach to overcoming challenges and successfully implementing innovative solutions.
Previous exposure to world-class AI/ML firmware development and datacenter environments.
Join us at NVIDIA and help build the future of AI computing with your expertise. Your ambition and technical leadership will help us achieve new heights and develop lasting impacts in the world of technology! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
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.Top Skills
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.”
