Senior Firmware Engineer – GPU Networking

Posted 9 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
148K-288K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and implement new GPU firmware features, collaborate with software teams, and drive innovation in NVIDIA's networking products.
Summary Generated by Built In

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by phenomenal technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

NVIDIA’s Networking group is seeking to hire an excellent Senior Firmware Engineer to join the GPU networking (NVLink) FW group. As a Senior Engineer, you will be taking part in designing, implementing, and leading major development firmware features, delivering the next-generation GPU networking products. The Firmware team develops brand-new networking features for GPU data transfer protocols. We drive the data growth of the world’s biggest companies. With dedicated engineers around the globe, the work environment is dynamic, exciting, and fast-paced. Are you ready for the challenge?

What you will be doing:

  • Collaborate with architecture and different software design teams throughout the software development lifecycle.

  • Design and implement new features in the core of NVIDIA GPU firmware.

  • Work in Pre & Post-silicon development environments of next-generation NVIDIA GPU products.

  • Gain a deep understanding of system debugging, networking technology, and stacks, as well as the HW/FW/SW relationship.

  • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view.

  • Collaborate with other NVIDIA R&D teams around the globe.

What we need to see:

  • 5+ years of relevant professional experience.

  • BS or MS in Computer Science/ Computer Engineering / Electrical Engineering or equivalent experience.

  • Proficient knowledge of C.

  • Excellent understanding of embedded SW and real-time programming.

  • Strong analytical, creative, debugging and problem-solving skills.

  • Meticulous and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.

  • Strong programming skills in Python.

  • An excellent teammate with good social skills.

Ways to stand out from the crowd:

  • Knowledge of network protocols.

  • Assembly programming and debugging hands-on experience

  • Background in Linux internals.

  • Scripting abilities (Python, Bash).

  • Motivation to learn and constantly improve processes and tools.

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 forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 17, 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

Bash
C
Linux
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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