Handshake AI
Handshake AIVerified listing
Remote

Semiconductor Chip Design Engineer - Remote

120/hr
Remote
Posted September 18, 2026
Part-Time
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Listing checked September 18, 2026 · pay as published by Handshake AI

Overview

Handshake AI seeks experienced semiconductor and chip design engineers for part-time contract work that supports AI research. You will create expert engineering problems drawn from real chip design, verification, and tape-out workflows, then judge how well AI responses match industry practice. Your written feedback helps models reason like practicing engineers in VLSI, EDA, and semiconductor fabrication. The project runs on an ongoing basis, so you can schedule tasks around a current engineering role. No minimum hours or fixed timetable applies.

What You'll Do5

  • 1Build expert-level problems and scenarios that reflect actual chip design, verification, and tape-out work.
  • 2Review AI-generated answers for technical accuracy, practical feasibility, and alignment with real semiconductor workflows.
  • 3Write structured feedback that pinpoints errors and explains how a practicing engineer would solve the problem.
  • 4Assess responses in areas such as VLSI design, digital or analog design, EDA tools, fabrication, or formal verification.
  • 5Set your own pace and complete tasks when your schedule allows, with no minimum hour requirement.

Requirements6

  • 1MS or PhD in Electrical, Electronics, or Computer Engineering. A BS in EE/ECE counts when paired with strong industry experience.
  • 2At least 2 years of hands-on chip design or semiconductor work in industry.
  • 3Deep knowledge in one or more areas: VLSI design, digital chip design, analog chip design, EDA tooling, semiconductor fabrication, or formal verification.
  • 4Familiarity with tools such as Cadence Virtuoso, Cadence Innovus, Synopsys Design Compiler, Mentor Calibre, Verilog, SystemVerilog, ModelSim, Vivado, or Quartus is a plus.
  • 5Strong written communication and attention to detail.
  • 6Ability to work independently in a remote, asynchronous environment.

Who Should Apply

Engineers with a graduate degree in electrical, electronics, or computer engineering and at least two years of industry work in chip design or semiconductors fit this project best. The role rewards people who have shipped or verified real designs and can discuss VLSI, EDA tools, fabrication, or formal verification with depth. Candidates who only hold a BS in EE/ECE need strong industry experience to compete. Rejection often happens when applicants lack hands-on tape-out or verification exposure and rely on academic theory alone. The work is less suitable for engineers who want a fixed schedule, close team collaboration, or a permanent full-time position.

Salary Insight

The fellowship rate is $120.00 per hour for part-time contract work. For project-based AI training in a specialized hardware domain, that figure sits at the high end and matches engineers who hold graduate degrees and bring at least two years of industry experience. The listing does not mention benefits or full-time hours, and payment follows completed project tasks.

Pay and demand for Software Engineering roles

Aggregated

Typical pay

$75/hour

This role

$120/hr

Most Software Engineering roles pay $55–$95 per hour. This role's pay sits above that range.

Based on 277 similar roles that publish pay · 35 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

$120/hr

Required Skills

semiconductorchip designedavlsisemiconductor process engineeringdigital chip designanalog chip designformal verificationsemiconductor fabricationtape-outverilogsystemverilogcadence virtuosocadence innovussynopsys design compilermentor calibremodelsimvivadoquartusverificationelectrical engineeringcomputer engineering

Application Tip

In your application, name the exact EDA tools and design flows you have used, such as Cadence Virtuoso, Synopsys Design Compiler, or Verilog, and tie each to a concrete project or tape-out. Quantify your industry experience, for example two or more years in digital verification or analog design, because reviewers screen for hands-on work rather than academic coursework.

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