Senior Physical Design Methodology Engineer, PPA Fusion Compiler

NVIDIA
Santa Clara, Austin
Workplace: OnsiteFull timeUSD 136,000 - 264,500 annuallyFunction: Design (Product/UX/UI/Visual)Experience: 5+ yearsEducation: mastersSkills: ["Problem-solving","Collaboration"]

Senior Physical Design Methodology Engineer to develop efficient physical design methodologies for GPUs/SoCs, with ML-based solution development. You’ll contribute to P&R flows, timing, power/EM convergence, and back-end verification across multiple projects, leveraging ML to improve PPA. Strong background in hierarchical, top-down design and chip floorplanning is essential.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Physical Design Methodology Engineer, PPA Fusion Compiler

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Senior Physical Design Methodology Engineer to develop efficient physical design methodologies for GPUs/SoCs, with ML-based solution development. You’ll contribute to P&R flows, timing, power/EM convergence, and back-end verification across multiple projects, leveraging ML to improve PPA. Strong background in hierarchical, top-down design and chip floorplanning is essential.
Location: Santa Clara, Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

  • •Develop efficient physical design methodologies for graphics processors and SoCs.
  • •Create unique ML-based solutions to state-of-the-art physical design problems to improve PPA.
  • •Contribute to flow and tool methodologies for P&R, timing analysis, and back-end verification across multiple projects.
  • •Perform data-based analysis and algorithmic solutions for PPA checks and improvements.
  • •Collaborate on chip floorplanning, power/clock distribution, and chip assembly across projects.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •MS in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent experience)
  • •5+ years’ experience in Physical Design Engineering with ML-based solution development experience
  • •Proven implementation of ML-based solutions
  • •Familiar with floor planning, clock and power distribution, place and route, integration and verification
  • •Strong understanding of physical design convergence in timing/EM/IR with best PPA
Experience:5+ yearsSemiconductorsAI hardware
Education:Master's in Electrical Engineering / Computer Engineering / Computer Science
Skills:Problem-solvingCollaboration
Tech Stack:MLP&RTiming analysisIREMClock distributionPlace and routeFloorplanning

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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