Hardware Design Validation Engineer - Memory Subsystem - New College Grad 2026
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
NVIDIA's System Product Team is seeking curious, collaborative, and motivated hardware engineers to take our GPU memory subsystem from first silicon power-on to production. This role sits at the intersection of hardware and software, offering the opportunity to work directly with silicon, board, and firmware teams to shape how NVIDIA products perform from the ground up.
** 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 to inform engineering decisions.
- Applying knowledge of digital, analog, and computer design to debug and resolve controller, memory, board, and software/firmware level issues across all stages of the product lifecycle.
- Refining memory bringup and validation strategy by providing feedback and recommendations to silicon, board, and software teams.
** What we need to see:**
- Recently completed a BS or MS in Electrical Engineering or a related field, or equivalent experience.
- 2+ years of relevant experience, including internships, co-ops, or research projects.
- Understanding of high-speed signal integrity and hands-on experience with oscilloscopes.
- Familiarity with schematic capture and board design.
- Working knowledge of PC systems, Windows OS, and Linux.
- Strong grasp of EE fundamentals with the ability to break down complex problems using first principles.
- Familiarity with scripting or programming languages such as C, C++, Java, Python, or Perl.
- Ability to work effectively across teams and time zones in a collaborative, cross-disciplinary environment.
- Genuine curiosity about technology and a passion for continuous learning.
** Ways to stand out from the crowd:**
- Experience as a tutor or teaching assistant in an engineering or technical subject.
- Strong presentation skills with the ability to communicate technical concepts to cross-functional audiences.
- Hands-on experience with memory subsystem design or validation.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 13, 2026.
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 NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
More jobs at NVIDIA
- Software Engineer, SRE and Production Engineering - DGX Cloud
- C++ Software Engineer, Infrastructure Tools - New College Grad 2027
- ASIC Clocks Verification Engineer - New College Grad 2026
- Senior Deep Learning Software Engineer, Inference and Model Optimization
- Research Intern, World Models and Synthetic Data for Autonomous Driving - Summer 2027
- Director, Software Engineering – Cloud Compute and Infrastructure
- Senior AI Engineer, AI tools
- Senior Deep Learning Compiler Engineer
- Senior System Software Engineer, Replay and Simulation
- Senior Manager, Technical Program Management - Image Quality