Physical Design Engineer (Neuromorphic Computing)

TL;DR

Physical Design Engineer (Neuromorphic Computing): Designing and optimizing silicon for next-generation neuromorphic chips with an accent on performance, power, area, and timing closure. Focus on implementing asynchronous architectures and advanced physical design methodologies to power the future of physical AI systems.

Location: Must be based in the US (Hillsboro, Folsom, San Jose, or Santa Clara) with a hybrid work model.

Salary: $122,440–$232,190 USD

Company

A global leader in semiconductor innovation, designing and manufacturing silicon products that empower digital lives worldwide.

What you will do

• Define partition floorplans including macro and pin placements while adhering to chip-level constraints.
• Collaborate with RTL designers to define timing constraints and execute synthesis and place-and-route trials.
• Resolve timing, EM/IR, and DRC violations to ensure design integrity.
• Run back-annotated VCS+SDF simulations to verify power and performance targets.
• Develop custom scripts and tool flows to optimize synthesis and physical design processes.

Requirements

• Must be based in the US (Hillsboro, OR; Folsom, San Jose, or Santa Clara, CA).
• Bachelors with 4+ years, Masters with 3+ years, or PhD with hands-on physical design experience.
• 3+ years of experience in synthesis, place and route, and timing/layout closure.
• 3+ years of experience with scripting languages such as Perl, TCL, or Python.

Nice to have

• Experience with Synopsys tools (Fusion Compiler, Primetime, VCS).
• Knowledge of chiplet integration and advanced packaging.
• Experience in EDA/CAD software development using C++ or Java.
• Familiarity with asynchronous architectures and circuits.

Culture & Benefits

• Competitive total compensation package including base pay and stock bonuses.
• Comprehensive health, retirement, and vacation benefit programs.
• Hybrid work model allowing flexibility between on-site and off-site work.
• Opportunity to work on cutting-edge neuromorphic computing and AI hardware.