Hybrid Design Automation Engineer for Neuromorphic AI

Intel; Phoenix (AZ); Hybrid; USD 122,000 - 232,000; Full time

Job summary

Intel in Oregon is seeking an experienced design automation engineer to advance Loihi’s asynchronous EDA flow and silicon implementation. You will help create tool flows, automation, and scalable frameworks across front-end design, physical implementation, verification, and FPGA emulation.

Ideal candidates bring a strong software background, familiarity with SystemVerilog/SystemC, and experience with AI-driven automation tools. This role supports hybrid work and spans multiple US locations.

Qualifications

• Bachelor's degree and 4+ years OR Master's degree and 2+ years in developing and deploying production quality tools for silicon design.
• 4+ years of experience in developing and maintaining the entire ASIC tool suite: synthesis, place and route, ATPG, FEV, RV, STA, LVS/DRC.
• 4+ years of scripting in Perl, TCL, Python, etc.
• 2+ years of experience in delivering multiple silicon tape-outs.

Responsibilities

• Enhance and maintain Loihi's asynchronous EDA tool flow by implementing design automation algorithms, software tools, utilities, and regression tests.
• Support RTL designers, verification engineers and physical design engineers by providing automated solutions to achieve product quality and target KPIs.
• Enable early SW development by setting up a scalable framework mapping silicon designs in simulation and emulation.
• Write custom scripts to manipulate synthesis and physical design tools for low power/high performance custom designs.

Skills

SystemVerilog

SystemC

Object Oriented Programming

Education

Bachelor's degree or higher in Electrical Engineering/CS

Tools

HAPS

ZeBu

Job description

Intel in Oregon is seeking an experienced design automation engineer to advance Loihi’s asynchronous EDA flow and silicon implementation. You will help create tool flows, automation, and scalable frameworks across front-end design, physical implementation, verification, and FPGA emulation.

Ideal candidates bring a strong software background, familiarity with SystemVerilog/SystemC, and experience with AI-driven automation tools. This role supports hybrid work and spans multiple US locations.