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NVIDIA

Senior Mask Design Engineer - Hardware

NVIDIA is hiring a Senior Mask Design Engineer - Hardware in Santa Clara, United States. It pays $132k-$207k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

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!

Are you looking for a Mask layout Design Engineer role? 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 significant high-speed mixed-signal circuit designs.

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 state-of-the-art sub-micron CMOS technologies using Cadence tools.

  • You'll work cross functionally 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 with Minimum of 8+ proven experience in Mask and Layout Design.

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

  • You are an authority with Cadence custom circuit design tools - particularly virtuoso.

  • Experience running and debugging with verification tools such as Dracula, Hercules, Calibre, and Prime-yield.

  • 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.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 2026.

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.

How we rate this

Senior Mask Design Engineer - Hardware at NVIDIA rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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