NVIDIA is searching for a highly motivated, excellent CAD Engineer to join the Advanced Technologies group. You will develop tools that help improve productivity of custom circuit designers worldwide. A successful candidate will have solid EE background with an in-depth understanding of circuits, layouts and VLSI design. We are looking for someone who loves to write code to automate design processes and who enjoys working in groundbreaking process technologies! A strong background in Skill, Perl and Python are needed for this position. The job involves both development and support. The candidate must have good interpersonal skills.
What you'll be doing:
Develop and support component libraries for advanced process technologies. This will involve developing and maintaining technology files, symbols, gates and pcells, and supporting various netlisters
Install, configure and support foundry PDKs
Maintain the custom design environment used by custom schematic and mask designers
Write scripts using Perl, Python, and Cadence SKILL
Support and maintain CAD tools used by IC designers including Virtuoso, IC-Manage, HSPICE, ADE, various simulation tools and Verilog / System Verilog
Work with CAD tool vendors to evaluate new tools, solve bugs, improve usability, etc.
Develop infrastructure to support design work in new process technologies.
What we need to see:
B.S. (or equivalent experience) in Electrical Engineering with 5+ years of experience or M.S. in Electrical Engineering and 3+ years’ experience
A basic understanding of MOSFET device behavior, CMOS layout, and VLSI design
Excellent programming skills
Experience with Perl, Cadence SKILL, Python, Tcl
Great communication skills
Passionate about providing excellent support for end-users
Ways to stand out from the crowd:
Experience developing pcells in photonics processes
Familiarity with Analog Design Environment (ADE), including the ability to interact with designers to collect bugs and follow up with AEs on bug fixes
Experience with version control system, like Perforce
Familiarity with LSF or similar job scheduling systems for distributed computing.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
#LI-Hybrid
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 a diverse 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.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.
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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.”
