Are you a Mask Layout Design Engineer?
We are looking for a Senior Mask Layout Design Engineer, someone who is excited to join a growing and multifaceted group of diverse individuals responsible for handling meaningful high-speed mixed-signal circuit designs. 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 take on, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We would love to hear from you!
What you'll be doing:
Performing physical layout for mixed-signal functions like PLL's, high speed SerDes, Analog to Digital converters, ESD structures designs in innovative sub-micron CMOS technologies using Cadence tools.
You'll work multi-functional with ASIC and mixed-signal engineers to customize designs for integration in VLSI products.
Take part in floor planning, custom layout and verifying against design rules and schematics.
What we need to see:
Have a BSEE or equivalent experience and minimum of 8+ years industry experience.
Deep understanding of analog circuit layout concepts in submicron CMOS technologies.
You are an authority with Cadence custom circuit design tools
Experience running and debugging with verification tools such as Dracula, Hercules, Calibre, and Primeyield.
You are able to work optimally in a team, good interpersonal skills, passion and positive energy.
Proficient in scripting languages like perl, python, skill etc.
Should have knowledge of DRC and LVS checking flows, ability to customize decks.
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.
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.Skills Required
- BSEE or equivalent experience
- Minimum 8 years of industry experience
- Deep understanding of analog circuit layout concepts in submicron CMOS technologies
- Expertise with Cadence custom circuit design tools
- Experience running and debugging Dracula, Hercules, Calibre, and PrimeYield verification tools
- Ability to work effectively in a team with strong interpersonal skills
- Proficiency in Perl, Python, SKILL, or similar scripting languages
- Knowledge of DRC and LVS checking flows and ability to customize verification decks
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
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.”
