Senior Mask Design Engineer – Hardware

NVIDIA is hiring a Senior Mask Design Engineer – Hardware in Santa Clara, United States. It pays $136k-$213k 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 classifies it as a senior role.
Level lists 2,800+ other open roles at NVIDIA.

AI in this role

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.
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

#LI-Hybrid

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:
136,000 USD – 212,750 USD for Level 3; and 168,000 USD – 258,750 USD for Level 4.

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 25 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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.