Role at a glance
- Salary
- $168K – $322K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of relevant hands-on experience in high-speed DRAM design and test.
- Education
- Masters or higher in Electrical engineering (or equivalent experience).
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Role Summary
The System Product Team is seeking a hardware engineer to lead HBM/GDDR memory subsystem enablement for NVIDIA datacenter and graphics products. The role supports the memory subsystem from first silicon power-on through production and coordinates decisions across ASIC, VLSI, board, and ATE domains.
What You'll Do
- Lead HBM/GDDR enablement, validation, and failure analysis for datacenter and graphics products.
- Review memory partner design limits and test methodology.
- Develop characterization and test plans for each memory generation.
- Define and refine characterization, validation, and POR set methodologies.
- Work with memory partners to enable memory into production.
- Coordinate with hardware design and software teams and guide product-level memory subsystem decisions.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Master's degree or higher in Electrical Engineering or equivalent experience; 10+ years of 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; hands-on hardware and software experience; working knowledge of Linux, scripting, programming, computer systems, and data analysis methods.
Required
- Master's degree or higher in Electrical Engineering or equivalent experience
- 10+ years of relevant hands-on experience in high-speed DRAM design and test
- ASIC design
- Mixed-signal design
- Power and signal integrity concepts
- Science, engineering, and data analysis fundamentals
- Hands-on hardware and software experience
- Linux
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.