Senior Firmware Engineer, Networking

Posted 8 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing network firmware features, collaborating on design, implementing features, and debugging firmware issues.
Summary Generated by Built In

We are looking for an excellent Senior Firmware Engineer to join the Firmware team. The NVIDIA Firmware team develops groundbreaking networking features for AI, cloud, HPC and storage. We drive the data growth of the world’s biggest companies. With many hardworking engineers around the globe, the work environment is complex, results-oriented and fast paced. You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed

What you will be doing:

  • Work closely with the architecture and different software and hardware design teams.

  • Implement new features for NVIDIA NIC and Switch firmware.

  • Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

  • Collaborate with multi-functional teams including chip design, board designers, Silicon, SW and program managers to debug any FW/validation issues.

  • Heavily involved with the early modeling and simulation required to produce our outstanding products including schematic and layout reviews on next generation board designs.

What we need to see:

  • Bachelor's or master's Degree in Electrical/Computer Engineering, or equivalent experience.

  • 8+ years of experience in Firmware.

  • Strong C/C++ and OOP capabilities.

  • Excellent Data analysis, debugging and problem-solving skills.

  • Strong understanding of digital design, computer architecture, Linux, drivers and CPU/GPU/SOC architecture.

  • Familiar with the fundamentals of Linux scripting languages and python hands-on.

  • Strong analytical, debugging and problem solving skills.

  • Motivated and independent with strong communication skills.

Ways to stand out from the crowd:

  • Coding and automation skills in scripting languages like Python.

  • Experience with RISCV architecture and verification.

  • Ability to multitask and prioritize in a fast paced environment.

  • Strong interpersonal and communication skills and ability to work effectively across different teams

  • Hands-on lab experience with board bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers).

With competitive salaries and a generous benefits package (www.nvidiabenefits.com), 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 outstanding growth, our best-in-class 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 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 May 1, 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.

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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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