Hybrid Neuromorphic Design Automation Engineer

Intel; Austin (TX); Hybrid; USD 122,000 - 232,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement plan

Vacation

Job summary

Intel is seeking an experienced design automation engineer to advance the Loihi neuromorphic silicon program. You will help shape the tool flow spanning front-end design, physical implementation, verification, and FPGA emulation, with a strong software emphasis and openness to learning asynchronous design and AI-driven automation.

Join a team driving novel computing paradigms at the intersection of semiconductor technology and physical AI, delivering scalable, high-performance silicon from

Qualifications

• Bachelor’s or Master’s with 4+ years OR 2+ years with a Master’s in developing and deploying production-quality silicon design tools and flows.
• 4+ years with the full ASIC tool suite: synthesis, place and route, ATPG, FEV, RV, STA, LVS/DRC.
• 4+ years of scripting in Perl, TCL, Python, etc.
• 2+ years delivering multiple silicon tape-outs.

Responsibilities

• Enhance and maintain Loihi’s asynchronous EDA tool flow with automation, software tools, utilities and tests.
• Support RTL designers, verification and physical design engineers with automated solutions to hit KPIs.
• Enable early software development by mapping silicon designs in simulation and emulation.
• Write custom scripts to manipulate synthesis and physical design tools for low power/high performance designs.

Skills

ASIC tooling

Design automation

Scripting languages

Async design

Education

Bachelor’s or Master’s in a related field (Electrical/CS/EE)

Tools

Synthesis tools

Place & Route

ATPG

FEV

RV

STA

LVS/DRC

Job description

Intel is seeking an experienced design automation engineer to advance the Loihi neuromorphic silicon program. You will help shape the tool flow spanning front-end design, physical implementation, verification, and FPGA emulation, with a strong software emphasis and openness to learning asynchronous design and AI-driven automation.

Join a team driving novel computing paradigms at the intersection of semiconductor technology and physical AI, delivering scalable, high-performance silicon from