Role at a glance
- Salary
- $108K – $212.8K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 2+ years relevant experience.
- Education
- BS or MS EE degree
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Role Summary
The System Product Team is seeking a hardware engineer to take NVIDIA’s GPU memory subsystem from first silicon power-on through production. The role focuses on DDR memory tuning, validation, feature enablement, and resolving issues across controller, memory, board, and software or firmware components.
What You'll Do
- Plan and perform DDR memory tuning, validation, and feature enablement on NVIDIA products.
- Review silicon design specifications, component datasheets, board schematics, and layout.
- Debug and resolve controller, memory, board, or software/firmware-level issues at all stages of the product.
- Refine the memory bringup and validation strategy.
- Provide feedback and recommendations to silicon, board, and software teams.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
EE fundamentals; mixed signal/analog, embedded systems, and digital design; high speed signal integrity and oscilloscopes; schematic capture and board design; PC systems, Windows OS, and Linux; scripting or programming in C, C++, JAVA, Python, or Perl; collaboration and cross-disciplinary teamwork skills.
Required
- 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
- Familiar with scripting or programming languages such as C, C++, JAVA, Python, or Perl
- Good collaboration and cross-disciplinary teamwork skills
Preferred
- Experience as a tutor or teacher’s assistant
- Good presentation skills
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'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.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.