NVIDIA’s GPUs and SOCs are the world leaders in power, performance, and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Mask Design Engineer who is committed to making a difference in the world through their contributions!
This position will collaborate with Package Technical Lead and different design teams in designing and developing sophisticated, detailed layout of silicon interposers for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues.
What you'll be doing:
You'll collaborate cross functionally with package technical lead (PTL) and I/O signal integrity and technology engineers to deliver solution for product packages in tight schedule.
Performing physical layout for silicon interposer using Cadence tools.
Conduct design feasibility studies to evaluate the package design goals for size, cost, and system performance.
Take part in studying layout floorplan and perform custom layout and verification against design rules and netlists.
Propose layout design trade-offs to the PTL for resolution and implementation.
What we need to see:
Hold a B.S. Electrical Engineering or equivalent experience
Minimum of 5+ years proven experience in Mask and Layout Design.
Deep understanding of layout concepts in submicron CMOS technologies.
You are an authority with Cadence layout tools - particularly Virtuoso.
Knowledge of Integrity auto-routing is a plus.
Experience running and debugging with verification tools such as Calibre, ICV, Thunder, etc.
Proficient in scripting languages like Perl, Python, Skill, etc.
Should have knowledge of DRC and LVS checking flows, ability to customize decks. Knowledge of APD package layout tool is a plus.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.
Skills Required
- Bachelor’s degree in Electrical Engineering or equivalent experience
- At least 5 years of experience in mask and layout design
- Deep understanding of layout concepts in submicron CMOS technologies
- Expertise with Cadence layout tools, particularly Virtuoso
- Experience running and debugging verification tools such as Calibre, ICV, or Thunder
- Proficiency in scripting languages such as Perl, Python, or SKILL
- Knowledge of DRC and LVS checking flows and ability to customize verification decks
- Knowledge of Integrity auto-routing
- Knowledge of APD package layout tools
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
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