ML and AI Physical Design Methodology Engineer
NVIDIAJob Title
ML and AI Physical Design Methodology Engineer
Role Summary
Join NVIDIA's Networking silicon physical design team to develop ML/AI-driven methodology and automation that improve power, performance, and area (PPA) for high-speed communication chips. The role focuses on integrating ML solutions into production physical design flows and collaborating across place-and-route, timing, power, and verification teams.
Experience Level
Mid-level. The role expects several years of relevant experience; the posting requests 5+ years in ML/AI solution development.
Responsibilities
Primary responsibilities include creating, integrating, and deploying ML-enabled solutions into physical design flows and improving PPA through data-driven methods.
- Architect, integrate, and deploy ML/AI-driven solutions into production physical design flows.
- Develop algorithmic and data-based analyses to identify and improve PPA issues.
- Create flow and tool methodologies for place-and-route, timing analysis and closure, IR/EM and signal integrity, power and noise analysis, and back-end verification.
- Collaborate on chip floorplanning, power and clock distribution, and chip assembly to enable automated solutions.
- Automate workflows and integrate tools into repeatable production flows.
Requirements
Must-have technical skills and experience.
- 5+ years' experience developing ML/AI-based solutions.
- Proven track record implementing ML-based solutions in engineering workflows.
- Strong Python and Tcl programming skills.
- Familiarity with ML frameworks (training/inference pipelines and model deployment).
- Experience designing and automating workflows and tool integrations.
- Exposure to physical design workflows (place-and-route, timing, power, verification).
Education Requirements
MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience (posting explicitly allows equivalent experience).
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
