System Products Memory Solutions Engineer

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.