Drimva

Intel

Design Automation Engineer - Neuromorphic Computing

$122K–$232K

US, Oregon, Hillsboro +4 · Full-time · Posted Sep 1, 2026

Location
US, Oregon, Hillsboro
US, California, Folsom
US, California, Santa Clara
US, Texas, Austin
US, Arizona, Phoenix
Experience
Bachelor’s and 4+ years, or Master’s and 2+ years, in production-quality silicon design tools, flows, and methods; 4+ years maintaining the ASIC tool suite; 4+ years scripting; 2+ years delivering multiple silicon tape-outs.
Education
Bachelor’s or Master’s degree; no equivalent experience alternative stated.

About the job

Develops and maintains automation methods and EDA tool flows for Intel’s asynchronous neuromorphic silicon designs, supporting design, verification, physical implementation, and emulation.

What you'll do

  • Enhance Loihi’s asynchronous EDA flow with automation algorithms, software tools, utilities, and regression tests.
  • Provide automated solutions for RTL, verification, and physical design teams to meet product quality and target KPIs.
  • Build simulation and emulation frameworks for early software development and write scripts for synthesis and physical design tools.

What they ask for

  • Bachelor’s and 4+ years, or Master’s and 2+ years, developing and deploying production-quality tools, flows, and methods for silicon design.
  • 4+ years developing and maintaining the ASIC tool suite, including tools such as synthesis, place and route, ATPG, FEV, RV, STA, LVS/DRC.
  • 4+ years using scripting languages such as Perl, TCL, or Python.
  • 2+ years delivering multiple silicon tape-outs.

Nice to have

  • Strong System-Verilog/System-C/Object Oriented Programming background; experience with large-scale FPGA platforms such as HAPS or emulation frameworks such as ZeBu.
  • 1+ year using AI tools to set up tool flows, debug, and improve productivity.

Pay

$122,440.00-232,190.00 USD (total compensation)

Tools

System-Verilog, System-C, Perl, TCL, Python, HAPS, ZeBu, ASIC

AI focus

Use AI tools for setting up tool flows, debugging, and improving productivity; experience with AI-driven automation and generative AI development tools is expected.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)