Senior Firmware Engineer - Memory Subsystem

Reposted An Hour 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
This role involves firmware development for NVLINK-C2C interfaces, boot architecture, and systems validation in NVIDIA's Memory Subsystem team, requiring substantial experience in firmware design.
Summary Generated by Built In

We are now looking for a Senior Firmware Engineer for our Memory Subsystem Team! Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization! The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. NVIDIA’s SoC Memory Subsystem team is looking for curious, collaborative, and motivated hardware engineers to take our memory subsystem from first silicon power-on to production.
 

What you'll be doing:

  • Firmware development for NVLINK-C2C, validation and debug of firmware and silicon bring-up for NVIDIA products.

  • Working on Boot architecture and security aspects of NVLink-C2C interfaces

  • Architectural specifications for Micro-controllers/processors used for boot and run time functions.

  • Planning and implementing NVLINK-C2C interfaces, validation, and feature enablement on NVIDIA products.

  • Implementing low power states, RAS, telemetry functions

  • Exercising your expertise in digital and analog systems, computer architecture, and debugging skills to tackle exciting problems.

  • Refining our Interface bring up and validation strategy.
     

What we need to see:

  • BS or MS EE degree with focus in embedded systems (or equivalent experience).

  • 6+ years of proven experience in Boot architecture and firmware design.

  • Excellent RTL and digital design skills

  • Experience with high-speed IO interface is a plus.

  • Good understanding and coding skills in C/ C++/Python

  • Understanding of data structures.

  • Knowledge in ASIL process and flow will be an added advantage

  • Working knowledge of PC systems, windows OS, and Linux.

  • Excellent debugging skills. Able to break problems down based on first principles.

  • Possess good collaboration and cross-disciplinary teamwork skills.

  • Comfortable assuming different responsibilities over the life of a product.

Ways to stand out from the crowd:

  • Familiar with scripting or programming languages such as C, C++, JAVA, Python, or Perl.

  • Experience with embedded firmware.

  • Deep understanding of technology and passionate about what you do.

  • Strong collaborative and interpersonal skills, specifically a proven track record to optimally guide and influence within a dynamic matrix environment.
     

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/

#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 June 14, 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

  • BS or MS EE degree with focus in embedded systems or equivalent experience
  • 6+ years of proven experience in Boot architecture and firmware design
  • Excellent RTL and digital design skills
  • Understanding and coding skills in C/C++/Python
  • Knowledge in ASIL process and flow
  • Experience with high-speed IO interfaces
  • Familiar with scripting or programming languages such as C, C++, JAVA, or Perl

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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