Drimva

HPE

VLSI Physical Design Engineer

$109K–$251K

Ft. Collins, Colorado, United States of America +2 · Full-time · Posted Oct 29, 2026

Location
Ft. Collins, Colorado, United States of America
Chippewa Falls, Wisconsin, United States of America
Bloomington, Minnesota, United States of America
Experience
1-6 years in VLSI design, verification, or implementation.
Education
Bachelor's or Master's degree in Electrical Engineering, Computer engineering or equivalent

About the job

Performs ASIC physical-design implementation and timing closure, from constraints and synthesis through signoff, while improving design flows and collaborating across engineering teams.

What you'll do

  • Run static timing analysis, maintain timing constraints, and close timing at partition and full-chip levels.
  • Perform synthesis, netlist checks, formal verification, partitioning, floorplanning, and ECO implementation.
  • Improve design automation and methodologies, collaborate with partners, and guide less-experienced engineers.

What they ask for

  • Knowledge of electrical engineering fundamentals, VLSI principles, digital logic, and computer architecture.
  • Experience in one or more areas including static timing analysis, timing constraints, synthesis, formal verification, floorplanning, chip partitioning, or ECOs.
  • Knowledge of programming or scripting, hardware description languages, EDA, and/or FPGA tools.
  • Strong analytical and problem-solving skills; ability to work independently and collaboratively.

Nice to have

  • Experience with industry-standard EDA tools such as Synopsys Fusion Compiler, Design Compiler, PrimeTime, Formality, Cadence RTL Compiler, Genus, or LEC.
  • Coursework in VLSI design or VLSI concepts.

Pay

USD 115,000 - 218,000 (base salary, annual; Colorado); USD 109,000 - 251,000 (base salary, annual; Minnesota & Wisconsin)

Tools

Synopsys Fusion Compiler, Design Compiler, PrimeTime, Formality, Cadence RTL Compiler, Genus, LEC, FPGA

AI focus

Develop flow automation and methodology improvements, often using AI to improve methodologies.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)