Senior Design Automation Engineer – Neuromorphic AI Chips

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

Benefits offered by this job

Health benefits

Stock bonuses

Vacation plan

Hybrid work model

Job summary

Intel Corporation is seeking an experienced design automation engineer to advance its neuromorphic silicon design flow. You will work across front-end design, physical implementation, verification, and FPGA emulation, driving automation and tool-chain improvements.

Applicants should have strong software skills, familiarity with asynchronous design, and comfort with AI-driven automation. The role supports a hybrid work model across multiple US sites including Hillsboro and Phoenix.

Qualifications

• Bachelors and 4+ years OR Masters and 2+ years of experience in developing and deploying production quality tools, flows and methods for silicon design.
• 4+ years of experience delivering the entire ASIC tool suite: synthesis, place and route, ATPG, FEV, RV, STA, LVS/DRC.
• 4+ years of scripting in Perl, TCL, Python, etc.

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

Perl

TCL

Python

Education

Bachelor’s or Master’s in EE/CS

Tools

Synthesis

Place & Route

ATPG

FEV

RV

LVS/DRC

HAPS

ZeBu

Job description

Intel Corporation is seeking an experienced design automation engineer to advance its neuromorphic silicon design flow. You will work across front-end design, physical implementation, verification, and FPGA emulation, driving automation and tool-chain improvements.

Applicants should have strong software skills, familiarity with asynchronous design, and comfort with AI-driven automation. The role supports a hybrid work model across multiple US sites including Hillsboro and Phoenix.