Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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 a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.The Digital IP (DIP) group at NVIDIA develops IP for every chip designed at NVIDIA. This group works closely with internal SOC design, silicon testing, and productization teams that turn our IP into products that change the world. One of the roles fulfilled by the DIP group is to develop sophisticated SRAM compilers that are used extensively by our SOC design partners. We are looking to hire a skilled and creative SRAM circuit designer to help achieve these goals in a high-visibility position. What you ll be doing: Embedded SRAM design: Transistor-level circuit design, supervising layout implementation, physical and logical verification, and debug of SRAM macros. SRAM compiler development: Envisioning, defining, and coding more efficient ways to automate the simultaneous assembly and validation of multiple unique SRAM macros using NVIDIA s extensive compute resources. Advanced development: Exploring the potential of future process nodes and developing techniques to realize optimal power, performance, and area characteristics. Guiding SOC design, silicon test, and productization efforts: Collaborate with SOC design partners to help them achieve their overall performance and cost goals, guide the silicon test and characterization efforts, and working with productization teams to prepare new silicon for the demanding requirements of real-world applications. What we need to see: BSEE minimum (or equivalent experience), MSEE or PhD 2 years of professional experience in SRAM design Familiarity with Cadence Virtuoso schematic and layout capture tools Willingness and ability to use AI effectively in day-to-day tasks Ways to stand out from the crowd Self-motivation, attention to detail, and good written, verbal, and presentation skills are essential to success in this role We rely heavily on AI coding and analysis tools such as Codex and Claude Code. The more developed your skills in this area, the better Silicon testing and debugging experience Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 19, 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.

Requirements

Must-haves

Embedded SRAM design: Transistor-level circuit design, supervising layout implementation, physical and logical verification, and debug of SRAM macros.
SRAM compiler development: Envisioning, defining, and coding more efficient ways to automate the simultaneous assembly and validation of multiple unique SRAM macros using NVIDIA s extensive compute resources.
Advanced development: Exploring the potential of future process nodes and developing techniques to realize optimal power, performance, and area characteristics.
BSEE minimum (or equivalent experience), MSEE or PhD
2 years of professional experience in SRAM design
Familiarity with Cadence Virtuoso schematic and layout capture tools
Willingness and ability to use AI effectively in day-to-day tasks
Ways to stand out from the crowd
Self-motivation, attention to detail, and good written, verbal, and presentation skills are essential to success in this role
We rely heavily on AI coding and analysis tools such as Codex and Claude Code. The more developed your skills in this area, the better
Silicon testing and debugging experience
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision