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NVIDIA

ML and AI Physical Design Methodology Engineer

NVIDIA

. Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows .

Posted 10/13/2026full-timeUnited StatesMid-LevelSenior💰 $136,000 - $264,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in architecting and deploying AI/ML-driven solutions within physical design workflows, with a strong focus on improving performance, power, and area (PPA) through innovative methodologies and data-driven analysis.

Highest-signal resume keywords
AI/ML Solution DevelopmentPython ProgrammingTcl ProgrammingPhysical Design WorkflowsML Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML Solution DevelopmentPython ProgrammingTcl ProgrammingData AnalysisAlgorithm DevelopmentP&R MethodologiesTiming AnalysisPower AnalysisChip Floorplan DesignBack-End Verification
Soft Skills
Creative Problem SolvingWorkflow Automation
Certifications & Qualifications
MS in Electrical EngineeringMS in Computer EngineeringMS in Computer Science
Industry Keywords
Physical DesignPPA ImprovementIR/Signal-EM ConvergencePower DistributionClock DistributionChip Assembly

Tech Stack

Tools & technologies
AssemblyPython

About the role

Key responsibilities & impact
  • Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows
  • Develop creative solutions to state-of-the-art physical design problems to improve PPA
  • Formulate and develop ML-based solutions
  • Develop flow and tool methodologies for P&R, timing analysis and closure, IR/Signal-EM convergence, power and noise analysis, back-end verification, chip floorplan, power and clock distribution, and chip assembly
  • Perform data-based analysis and algorithmic solutions for PPA checks and improvement

Requirements

What you’ll need
  • MS in Electrical, Computer Engineering, or Computer Science (or equivalent experience)
  • 5+ years’ experience in ML/AI-based solution development
  • Experience and ability to form and automate workflow
  • Strong Python and Tcl programming skills
  • Familiarity with ML frameworks
  • Proven implementation of ML-based solutions
  • Exposure to Physical Design workflows

Benefits

Comp & perks
  • Competitive salaries
  • Comprehensive benefits package
  • Equity