About the role
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 will be doing:
Hands-on leadership of HBM/GDDR enablement, validation, and failure analysis for NVIDIA’s datacenter and graphics products.
Drive review of memory partner’s design limits and test methodology. Integrate learnings into unique characterization and test plans for each memory generation.
Apply understanding of controller design, board design, and DRAM design to define and refine characterization, validation, and POR set methodologies.
Work closely with memory partners to successfully enable memory into production.
Work cross-functionally with multiple hardware design and software teams.
Guide product level decisions for the memory subsystem that span ASIC/VLSI/Board/ATE.
What we need to see:
Masters or higher in Electrical engineering (or equivalent experience).
10+ years of relevant hands-on experience in high-speed DRAM design and test.
Broad comprehension of ASIC design, mixed signal design, and power/signal integrity concepts.
Strong fundamentals in science, engineering, and data analysis.
Very comfortable being hands-on with hardware and software.
Working knowledge of Linux, scripting, programming, computer systems, and data analysis methods.
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.Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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