Circuit Design Expert- Remote

YO AI Labs

Seattle (WA)

Remote

USD 83,000 - 165,000

Part time

5 days ago
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Job summary

YO AI Labs is seeking a Circuit Design Expert to support an AI training project involving electronics hardware, circuit design, simulation, and Python automation. You will design, analyze, validate, and review real-world circuit solutions, with no prior AI experience required.

The role is contract-based, fully remote, with ~15 hours/week and flexible scheduling. You will work on analog/digital/mixed-signal/RF circuits, using CLI-based EDA tools and Python for automation.

Qualifications

  • MS/PhD in Electrical Engineering or BS with 1–2+ years professional circuit-design experience.

Responsibilities

  • Design and analyze analog, digital, power, mixed-signal, or RF circuits.
  • Translate requirements into schematics, netlists, HDL, models, and simulation inputs.
  • Run simulation, synthesis, and verification workflows using CLI/programmatic tools.
  • Use Python to automate simulations, parameter sweeps, and result analysis.
  • Evaluate voltage, current, power, gain, bandwidth, noise, timing, stability, and related outputs.
  • Diagnose component, parasitic, layout, signal/power integrity, thermal, and manufacturing issues.
  • Compare simulations with analytical calculations and hardware measurements.
  • Review AI-generated circuit solutions and create reproducible reference solutions.

Skills

Circuit Design & Analysis
Analog/Digital/Mixed-Signal/RF Design
Circuit Simulation & Verification
EDA & CLI-Based Workflows
Python
Hardware Debugging & Validation
Signal & Power Integrity
Technical Problem-Solving

Education

MS/PhD in Electrical Engineering
BS in Electrical Engineering + 1–2+ years experience

Tools

ngspice
Xyce
Yosys
Verilator
KiCad

Job description

Circuit Design Expert

Role Type: Contractor
Location: Global, Fully Remote
Schedule: ~15 hours/week, flexible

About the Role

We're seeking a Circuit Design Expert to support an AI training project involving electronic hardware, circuit design, simulation, verification, EDA workflows, and Python. You'll design, analyze, validate, and review real-world circuit solutions. No prior AI experience is required.

Key Responsibilities
  • Design and analyze analog, digital, power, mixed-signal, or RF circuits.
  • Translate requirements into schematics, netlists, HDL, models, and simulation inputs.
  • Run simulation, synthesis, and verification workflows using CLI/programmatic tools.
  • Use Python to automate simulations, parameter sweeps, and result analysis.
  • Evaluate voltage, current, power, gain, bandwidth, noise, timing, stability, and related outputs.
  • Diagnose component, parasitic, layout, signal/power integrity, thermal, and manufacturing issues.
  • Compare simulations with analytical calculations and hardware measurements.
  • Review AI-generated circuit solutions and create reproducible reference solutions.
Required Skills
  • Circuit Design & Analysis
  • Analog/Digital/Mixed-Signal/RF Design
  • Circuit Simulation & Verification
  • EDA & CLI-Based Workflows
  • Python
  • Hardware Debugging & Validation
  • Signal & Power Integrity
  • Technical Problem-Solving
Tools

Experience with ngspice, Xyce, Yosys, Verilator, KiCad, SPICE simulators, HDL tools, or equivalent programmatic EDA software. Python tools such as PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, or similar are beneficial.

Qualifications
  • MS/PhD in Electrical Engineering or related field, or BS in Electrical Engineering with 1–2+ years of professional circuit-design experience.
  • Proven experience designing circuits that were fabricated, integrated, shipped, or taped out.
  • Strong Python and programmatic EDA/tool experience.
  • Experience with hardware bring-up, laboratory validation, design verification, or post-fabrication debugging.
  • Ability to explain circuit behavior, assumptions, and design trade-offs clearly.
Process

Application ~30-minute AI interview Technical assessment (if required) Hiring manager review.

Compensation & Start

Output-based compensation is paid per approved task. Selected experts are expected to start their first task within 24–48 hours of onboarding.

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