Firmware Engineer

Posted 5 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
120K-236K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and deliver robust firmware solutions for NVIDIA products, ensuring software compatibility and validating features from development to production, while collaborating with cross-functional teams.
Summary Generated by Built In

We are looking for a Firmware System Engineer to develop and deliver robust, secure, and high-quality firmware solutions for NVIDIA’s next-generation product lines. Work closely with engineering, product management, and architecture teams to develop advanced NVIDIA networking and AI platforms. Your work will be key in ensuring a seamless, safe, and efficient firmware release process from development to mass production. The dynamic and fast-paced work environment will require you to excel in problem-solving and system-level debugging, all while fostering collaboration among exceptional engineers across NVIDIA's global sites.

What you’ll be doing:

  • Identify, diagnose, and addressing high-value problems during the product onboarding process, such as software compatibility, PCIe, security, network interoperability and communication issues between components

  • Verify that all integrated components interact as intended. This includes functional testing to ensure software components work correctly on various hardware testing platforms

  • Validate firmware features at hardware power-on stage

  • Bridge between software, architecture, HW and production engineering teams

What we need to see:

  • BS.c in Electrical/Computer Engineering or equivalent experience

  • 3+ years of relevant experience and/or knowledge

  • Strong system-level understanding and hands-on lab experience

  • Programming knowledge in Python/C/C++ or Perl

  • Excellent interpersonal and intercultural skills, including written and verbal communication in English

Ways to stand out from the crowd:

  • Knowledge in SW-HW interfaces, PCIe, memory subsystems, storage components, network applications, device drivers and real-time software

  • Deep understanding of computing architectures, hardware systems block diagrams and schematic sheets understanding

  • Previous roles in system validation positions or technical lead

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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services 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 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 1, 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

C
C++
Perl
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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