System Products Memory Solutions Engineer

Posted 18 Days Ago
Be an Early Applicant
Santa Clara, CA
Junior
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The role involves planning and executing DDR memory tuning and validation for NVIDIA products. Responsibilities include reviewing design specifications and assisting in debugging across various levels of product development. The candidate will provide feedback to enhance the memory validation strategy and engage in collaborative cross-disciplinary teamwork.
Summary Generated by Built In

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 amazing 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 System Product Team is looking for curious, collaborative, and motivated hardware engineers to take our GPU memory subsystem from first silicon power-on to production.

What you'll be doing:

  • Planning and performing DDR memory tuning, validation, and feature enablement on NVIDIA products.

  • Reviewing silicon design specifications, component datasheets, board schematics, and layout.

  • Exercising your understanding of digital, analog, and computer design to debug and resolve controller, memory, board, or software/firmware level issues at all stages of the product.

  • Refining our memory bringup and validation strategy. Providing feedback and recommendations to silicon, board, and software teams.

What we want to see:

  • BS or MS EE degree with affinity for mixed signal/analog, embedded systems, and digital design (or equivalent experience).

  • 2+ years relevant experience.

  • Understanding of high speed signal integrity and experience with oscilloscopes.

  • Understanding of schematic capture and board design.

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

  • Excellent understanding of EE fundamentals. Able to break problems down based on first principles.

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

  • Possess good collaboration and cross-disciplinary teamwork skills. Comfortable working across time zones.

  • Deeply curious about technology and passionate about learning.

Ways to stand out from the crowd:

  • Experience as a tutor or teacher’s assistant.

  • Good presentation skills.

The base salary range is 104,000 USD - 201,250 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
Perl
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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