Drimva

Arm

Staff Implementation Engineer

$198K–$268K

Austin, Texas · Staff · Full-time · Posted Oct 1, 2026

Experience
10+ years of hands-on ASIC Physical Build / Implementation experience.
Education
Bachelor's degree or equivalent experience, meaningful professional experience, or Master's degree, along with comparable practical experience, in Electrical Engineering, Computer Engineering, or a related technical field.

About the job

Leads end-to-end physical implementation of complex processor, GPU, interconnect, and SoC designs from RTL through GDSII and tapeout.

What you'll do

  • Own implementation and drive timing, physical, power-integrity, and signoff closure across tapeout builds.
  • Partner with RTL, architecture, and DFT teams to translate requirements into implementation targets and resolve design issues.
  • Improve implementation methodologies, automation, and flows; identify risks and drive them to resolution.

What they ask for

  • 10+ years of hands-on ASIC Physical Build / Implementation experience, including ownership of complex RTL-to-GDSII builds and successful tapeout.
  • Hands-on expertise across the implementation lifecycle, including synthesis, floorplanning, PDN planning, placement, clock-tree synthesis, routing, and optimization.
  • Strong knowledge of MCMM timing closure, timing constraints, clocking, OCV, crosstalk/SI, and low-power implementation.
  • Strong scripting and automation skills using Tcl, Python, Perl, shell and/or Make.

Nice to have

  • Experience implementing high-performance Arm CPUs, GPUs, coherent interconnects, or complex SoCs.
  • Experience with advanced process nodes, hierarchical physical design, complex clock methodologies, or working with foundries and EDA vendors.

Pay

USD $198,100-$268,000 per year (base salary)

Tools

Tcl, Python, Perl, shell, Make, UPF

AI focus

The role does not involve AI work; the posting permits AI for application preparation but prohibits using it to complete assessment tasks.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)