ML/AI Physical Design Engineer — Automate PPA

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 136.000 - 265.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity compensation

Benefits

Descripción de la vacante

NVIDIA Corporation is seeking a high-impact ML/AI Physical Design Methodology Engineer to join our Networking Silicon team in Santa Clara. You’ll drive AI/ML-powered improvements across physical design flows, targeting better PPA and performance for cutting-edge chips.

Ideal candidates have 5+ years in ML/AI solutions, strong Python/Tcl skills, and a solid background in physical design workflows. The role offers equity, comprehensive benefits, and a path to advanced design challenges.

Formación

• MS in Electrical Engineering or Computer Engineering or CS.
• 5+ years’ experience in ML/AI based solution development.
• Experience and ability to form and automate workflow.
• Strong Python and Tcl programming skills with familiarity in ML frameworks.
• Exposure of Physical Design workflows.

Responsabilidades

• Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows.
• Develop unique and creative ML-based solutions to improve PPA.
• Formulate and develop ML-based solutions and automate workflows.
• Develop flow and tool methodologies for P&R, timing analysis, and back-end verification.
• Data-based analysis and algorithmic solutions for PPA check and improvement.

Conocimientos

ML/AI development

Python programming

Tcl scripting

Workflow automation

Physical design knowledge

Educación

MS in Electrical Engineering or Computer Engineering or CS

Herramientas

ML frameworks

P&R tools

Descripción del empleo

NVIDIA Corporation is seeking a high-impact ML/AI Physical Design Methodology Engineer to join our Networking Silicon team in Santa Clara. You’ll drive AI/ML-powered improvements across physical design flows, targeting better PPA and performance for cutting-edge chips.

Ideal candidates have 5+ years in ML/AI solutions, strong Python/Tcl skills, and a solid background in physical design workflows. The role offers equity, comprehensive benefits, and a path to advanced design challenges.