Senior Firmware Engineer - Memory Subsystem

Posted 2 Days Ago
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Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Firmware Engineer will work on firmware development for NVLINK-C2C, focusing on boot architecture, validation, and debug for NVIDIA products. Responsibilities include systems architecture specifications, implementing power states, and using expertise in digital systems and architecture to refine validation strategies.
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.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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++
Java
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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