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Semiconductor & Chip Design Engineer

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Onsite

Semiconductor & Chip Design Engineer

Handshake AI Fellowship

Semiconductor & Chip Design Engineer

Skills

AI

2 months ago

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Important information


Contract type:

Part time

Location:

United States

Work mode:

Onsite

Published on:

1 September 2026

What they need


Opportunity Overview Handshake is looking for experienced semiconductor and chip design engineers to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on industry experience in chip design, EDA, VLSI, or semiconductor process engineering to evaluate AI-generated content and provide feedback that helps AI reason like a practicing chip engineer.

This is an ongoing, project-based opportunity you can take on alongside your current role.

What You'll Do

  • Use your industry expertise to create expert-level engineering problems and scenarios grounded in real chip design, verification, and tape-out workflows
  • Review and evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with how the work is actually done
  • Provide structured written feedback to help improve AI model performance
  • Complete tasks at your own pace with no set schedule or minimum hour requirement

Qualifications Ideal candidates meet all three of the following:

  • MS or PhD in Electrical, Electronics, or Computer Engineering; a BS in EE/ECE also qualifies when paired with strong industry experience
  • 2+ years of hands-on chip design or semiconductor work in industry
  • Depth in one or more of the following: VLSI design, digital or analog chip design, EDA tooling, semiconductor fabrication, or formal verification

Candidates who meet these are also encouraged to apply.

  • Proficiency with tools such as Cadence Virtuoso/Innovus, Synopsys Design Compiler, Mentor Calibre, Verilog, SystemVerilog, ModelSim, Vivado, or Quartus is a strong plus
  • Strong written communication, attention to detail, and the ability to work independently in a remote, asynchronous environment

#HandshakeAI

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