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 scheules, 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.
Good understanding of packaging technology is useful.
You can work optimally in a team, good interpersonal skills, passion and positive energy.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you
Skills Required
- B.S. in 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
- Expertise with Cadence layout tools, particularly Virtuoso
- Knowledge of Integrity auto-routing
- Experience running and debugging verification tools such as Calibre, ICV, Thunder
- Proficient in scripting languages such as Perl, Python, Skill
- Knowledge of DRC and LVS checking flows and ability to customize decks
- Knowledge of APD package layout tool
- Good understanding of packaging technology
- Ability to work in a team; good interpersonal skills and positive attitude
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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