Hardware Design Validation Engineer
NVIDIA
Hardware Design Validation Engineer
NVIDIA
Designs the chips and software that power AI
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.
You will also be eligible for equity and benefits.
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.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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