Senior Layout Mask Design Engineer

Reposted 9 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
124K-230K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop custom SRAM layouts in sub-micron CMOS technologies, focusing on physical layout, verification, and leading design methodology improvements.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are looking for you!

You'll work on the design and development of our next generation custom SRAM design. As part of the Digital IP Team, you will work with other team members on the new process design challenges. You will have the chance to work on custom and compiler ram layouts with cut in edge process technology that would be used on all the NVIDIA products!

What you'll be doing:

  • Perform physical layout for custom embedded SRAM structures in state-of-the-art sub-micron CMOS technologies using Cadence tools.

  • Assist in taking part in floor planning, custom layout and verifying against design rules and schematics.

  • Perform power robustness check and EMIR verification and fixes

  • Negotiation with P&R on setting up ram interface spec

  • Lead and influence other layout designers to improve team efficiency and align design methodology

What we need to see:

  • Associates degree (or equivalent experience).

  • 8+ years proven experience in mask and layout design.

  • Deep understanding of digital and analog circuit layout concepts in submicron CMOS technologies.

  • Strong background with Cadence custom circuit design tools - particularly Virtuoso.

  • Experience running and debugging with verification tools such as ICV or Calibre

  • Knowledge of DRC and LVS checking flows, ability to customize decks

  • Strong communication skills

  • Can effectively work in a team, good interpersonal skills, passion and positive energy.
     

Ways to Stand Out from the Crowd:

  • SRAM digital custom block design experience

  • SRAM compiler experience
     

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 4, and 148,000 USD - 235,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Top Skills

Cadence
Calibre
Icv
Virtuoso
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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