Role at a glance
- Job function
-
Engineering & R&D Semiconductor & Display Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Santa Clara, California, United States
- Employment
- Full-time
- Experience
- 2+ years of professional experience in SRAM design
- Education
- BSEE minimum (or equivalent experience), MSEE or PhD
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Role Summary
The SRAM Design Engineer designs embedded SRAM circuits and develops SRAM compiler automation for NVIDIA IP. The role also explores future process nodes and supports SOC design, silicon test, characterization, and productization.
What You'll Do
- Design SRAM circuits at the transistor level, supervise layout implementation, and perform physical and logical verification and debug...
- Develop and code methods to automate the assembly and validation of multiple unique SRAM macros.
- Explore future process nodes and develop techniques for optimal power, performance, and area characteristics.
- Collaborate with SOC design partners on performance and cost goals, guide silicon test and characterization efforts, and work with...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BSEE minimum or equivalent experience; 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.
Preferred
- Self-motivation, attention to detail, and good written, verbal, and presentation skills.
- Developed skills with AI coding and analysis tools such as Codex and Claude Code.
- Silicon testing and debugging experience.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
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.