NVIDIA Mixed-Signal CAD team is looking for an Analog / Mixed-Signal CAD Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling challenges in the scope of high-speed mixed-signal circuit and mask designers
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.
What you'll be doing:
- Support and develop solutions that will improve the efficiency and quality of the Mixed-Signal group.
- Define, develop, and maintain in-house, along with industrial utilities, solutions for Schematic, Layout, Package and Physical-verification in the fields of costume and EDA vendor tools (Cadence Virtuoso, Mentor Calibre, Synopsys ICV and more), environment, and general-purpose solutions.
- Write, customize and debug ICV/Calibre runsets of DRC, LVS, EXT.
- SKILL coding including Pcells development.
- Scripting and programing for ad-hoc solutions and wide tasks solutions.
- Work closely with NVIDIA’s world-wide Mixed-signal and Technology teams.
What we need to see:
- A minimum of 5 years of meaningful experience and a relevant education
- Experience with Cadence custom circuit design tools and SKILL language.
- Experience running and debugging DRC and LVS with verification tools such as ICV, Calibre.
- Effectively teamwork, good interpersonal skills, passion, and positive energy.
- Very good English.
Ways to stand out in the crowd:
- Former experience as mask designer or Mixed-Signal / VLSI CAD engineer
- Problem solver - balanced combination of experience and creativity.
- Proficiency in programming languages like Python, SKILL
- DRC and LVS flows experience, ability to customize its decks
- Understanding of analog circuit layout concepts in submicron CMOS or Photonics technologies and AI/ML hands on experience
NVIDIA is widely considered to be 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. Are you creative and autonomous? Do you love the challenge of crafting the securest silicon possible? If so, we want to hear from you. Come, join our ASIC Security team and help build the real-time, cost-effective computing platform driving our success across several exciting and quickly growing fields.
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.
-
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.
-
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.
-
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
Similar Jobs
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.”
