Senior Physical Design AI Engineer
NVIDIA · Posted Oct 7
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's Physical Design AI team combines deep physical design knowledge with modern AI technologies to build intelligent, scalable solutions for its Physical Design Implementation teams across NVIDIA product lines, spanning consumer graphics, accelerated computing, self-driving cars, and artificial intelligence. The team works on the RTL-to-GDSII flow and AI-driven tooling, delivering agentic AI solutions, benchmarking across AI models, and validating results with robust regression testbenches. This role partners with domain experts to understand complex implementation challenges and develop AI solutions that improve productivity, efficiency, and quality.
What you will do
- Work with Physical Design Implementation teams to understand complex problems and build agentic AI solutions for all product lines.
- Deliver efficient, token-optimized AI solutions that consistently produce high-quality outputs.
- Provide continuous support, maintenance, and enhancements for AI solutions.
- Benchmark solutions across various AI models to evaluate and improve their effectiveness.
- Research and innovate new AI methods to address evolving physical design challenges.
- Build robust regression testbenches to validate the quality, reliability, and performance of AI solutions.
Skills used in this role
What the employer is looking for
- 4+ years of experience in Physical Design with BE/BTech/MTech degree, or equivalent experience.
- Strong understanding of the RTL-to-GDSII flow and design implementation in leading process technologies, including synthesis, place and route, clock tree synthesis, timing convergence, and layout closure.Good understanding of AI concepts such as tokens, KV cache, context windows, skills, agents, subagents, and hooks.
- Hands-on experience with AI tools such as Claude, Codex, and Cursor. Strong knowledge and experience in standard place-and-route flows. Experience with Synopsys ICC2 and Cadence Innovus flows is preferred.
- Good automation skills in Tcl, Python, and tool-specific scripting for one or more industry-leading place-and-route tools.
- Ability to multitask and work effectively in a global environment. Excellent communication skills, strong motivation, and strong analytical and problem-solving abilities.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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