Senior Staff GPU Physical Design Engineer

Remote • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Remote
Fitment

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🛠️ Calibrating flux capacitors...

Job Details

Skills

  • IP
  • Intellectual Property
  • Routing
  • Optimization
  • RTL
  • Leadership
  • Derivatives
  • Technical Writing
  • Computer Science
  • Place And Route
  • Timing Closure
  • Synopsys
  • Cadence
  • ICC
  • Fusion
  • Physical Data Model
  • LVS
  • Static Timing Analysis
  • Signal Integrity
  • Information Retrieval
  • International Relations
  • Investor Relations
  • Scripting
  • Python
  • Tcl
  • Shell
  • Perl
  • Analytical Skill
  • Attention To Detail
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Collaboration
  • System On A Chip
  • GPU

Summary

Job Description

Title: Senior Staff GPU Physical Design Engineer
Location: Austin, TX or San Jose, CA. onsite strongly preferred

Need: GPU or high-performance SoC experience. Advanced node (?5nm). Full block ownership

Position Summary We are seeking a Senior Staff GPU Physical Design Engineer for our client to work on the physical implementation of high-performance GPU and system-level IP, driving execution across synthesis, place-and-route, timing closure, and signoff for their advanced technology nodes.

This role will help lead the implementation execution and methodology improvements for complex GPU design blocks from concept to tape-out. The ideal candidate will bring strong GPU physical design and implementation expertise with a collaborative mindset to help deliver high-quality silicon that meets market-differentiating power, performance, and area (PPA) targets across parallel development cycles.
  • Help lead block-level physical design implementation, including floor planning, placement, routing, timing closure, and signoff for GPU designs.
  • Contribute to the timing, power, and physical signoff activities, enabling STA-driven optimization, DRC/LVS convergence, and reliability considerations across GPU blocks.
  • Advance methodology and flow improvements, including scripting, automation, and tool usage to improve efficiency and design quality.
  • Drive cross functional collaboration with teams across architecture, RTL, design verification, physical design, software, and system level to resolve implementation challenges and support execution from synthesis through tape-out.
  • Provide leadership support across physical design teams, spanning implementation, derivative, and methodology development-enabling efficiency, robust automation, and consistent adoption of best practices.
  • Advance best practices by maintaining technical documentation and staying ahead of emerging GPU technologies.

Skills And Qualifications
  • 11+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 9+ years of experience with a Master's Degree, or 7+ years of experience with a Ph.D.
  • Strong hands-on experience in full physical design flows, including synthesis, place-and-route, clock tree synthesis (CTS), timing closure, and signoff
  • Strong proficiency with Synopsys or Cadence tools (ICC2/Fusion Compiler or Innovus, PrimeTime/Tempus, StarRC)
  • Strong experience in physical design implementation for complex GPU or SoC designs, including low-power design and physical verification (DRC/LVS)
  • Experience with timing analysis and closure methodologies, including STA and signal integrity
  • Experience with advanced node design (?5nm), including congestion, IR drop, and variability considerations
  • Strong proficiency in scripting and automation (Python, Tcl, Shell, Perl)
  • Strong analytical skills, attention to detail, and problem-solving skills using data-driven approach
  • Excellent written and verbal communication skills for documenting designs, methodologies, and best practices
  • Excellent collaboration skills, with the ability to navigate ambiguity and maintain ownership in a fast-paced, global environment

Preferred Qualifications
  • Experience with block-level implementation on complex SoC designs
  • Exposure to advanced nodes (?5nm)
  • Exposure to GPU or high-performance compute architectures
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: wesca004
  • Position Id: JOB-7100
  • Posted 6 hours ago
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