Design Automation Engineer - Neuromorphic Computing
Intel CorporationJob Title
Design Automation Engineer - Neuromorphic Computing
Role Summary
Develop and maintain design automation, tool flows, and infrastructure for neuromorphic silicon. Work across front-end design, physical implementation, verification, and FPGA-based emulation to move novel asynchronous designs from concept to silicon.
This role supports productization of Loihi-series research chips and requires strong software skills, EDA expertise, and experience applying AI-driven automation to engineering workflows.
Experience Level
Mid-level. The role expects multiple years of experience with ASIC design flows and automation; see Education Requirements for formal degree/experience options.
Responsibilities
Primary responsibilities include:
- Enhance and maintain asynchronous EDA tool flows by implementing design automation algorithms, tools, utilities, and regression tests.
- Support RTL designers, verification, and physical-design teams with automated solutions to meet product quality and target KPIs.
- Enable early software development by creating scalable frameworks that map silicon designs to simulation and FPGA-based emulation.
- Write and maintain custom scripts to control synthesis and physical-design tools for low-power, high-performance designs.
- Integrate AI-driven automation and generative tools to improve productivity, debugging, and flow setup.
Requirements
Must-have and preferred qualifications (concise):
- Experience developing and maintaining ASIC tool suites (synthesis, place & route, ATPG, FEV, RV, STA, LVS/DRC).
- Proficiency in scripting languages such as Python, TCL, Perl.
- Experience delivering silicon tape-outs and supporting RTL-to-silicon flows.
- Strong software development skills for production-quality automation, tools, and regression frameworks.
- Familiarity with asynchronous design methods or willingness to learn and integrate them with standard EDA tools.
- Preferred: SystemVerilog/SystemC and object-oriented programming experience.
- Preferred: experience with large-scale FPGA platforms (e.g., HAPS) or emulation frameworks (e.g., ZeBu).
- Preferred: practical experience using AI tools to set up flows, debug, and improve engineering productivity.
Education Requirements
Bachelor's degree plus 4+ years of relevant experience, or Master's degree plus 2+ years of relevant experience in a technical field, or equivalent practical experience.
About the Company
Company: Intel Corporation
Headquarters: Santa Clara, California, USA
Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.
