About The Position

This is a part-time, fully remote independent contractor consulting engagement for experienced circuit-design and electrical-engineering professionals contributing to an AI training and engineering evaluation project. Selected professionals create, solve, review, and validate circuit-design tasks involving real-world hardware, simulation, verification, and programmatic engineering workflows. Relevant circuit experience must extend beyond academic simulation and include designs that have been fabricated, integrated, shipped, or taped out. The work also requires the ability to use scripts, text-based inputs, command-line tools, or programmatic APIs. The work covers analog, digital, power, mixed-signal, or RF circuit design and analysis; simulation and verification; Python automation; hardware validation; and technical review of AI-generated circuit solutions. Engagement is expected to average approximately 15 hours per week, with a flexible schedule that may include evenings or weekends. Compensation is output-based at $80–$130 per hour, with payment for tasks meeting project specifications. Minimum submission requirements apply. Selected professionals should be prepared to begin their first task approximately 24–48 hours after onboarding. The selection process may include screening questions, an approximately 30-minute AI interview, and hiring-manager review. Work must not use confidential or proprietary information belonging to an employer, client, institution, research group, or other third party. The opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. Applicant information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with its Privacy Policy.

Requirements

  • MS or PhD in Electrical Engineering or a closely related discipline; alternatively, a BS in Electrical Engineering and at least 1–2 years of relevant professional circuit-design experience.
  • Meaningful hands-on experience designing analog, digital, power, mixed-signal, or RF circuits.
  • Experience with designs that were fabricated, integrated, shipped, or taped out; simulation-only academic experience is not sufficient.
  • Practical proficiency with Python.
  • Experience with at least one EDA, circuit-simulation, PCB, HDL, synthesis, or verification tool that supports CLI, scripting, text-based inputs, or a programmatic API.
  • Strong understanding of circuit behaviour, component selection, tolerances, failure modes, and design trade-offs.
  • Experience with hardware bring-up, laboratory validation, design verification, or post-fabrication debugging.
  • Ability to explain circuit behaviour, engineering decisions, and technical limitations clearly.

Nice To Haves

  • Experience with tools such as PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, or comparable libraries.
  • Experience with tools such as ngspice, Xyce, Yosys, Verilator, KiCad scripting, SPICE-compatible simulators, HDL simulators, synthesis tools, or comparable platforms.

Responsibilities

  • Design, analyse, and validate analog, digital, power, mixed-signal, or RF circuits.
  • Translate electrical requirements into schematics, netlists, models, HDL, constraints, or simulation inputs.
  • Evaluate electrical characteristics such as voltage, current, power, gain, bandwidth, impedance, noise, timing, stability, and thermal behaviour.
  • Assess component selection, operating margins, tolerances, and design trade-offs, and determine whether implementations satisfy electrical and functional requirements.
  • Run circuit simulation, synthesis, verification, and related engineering workflows using command-line-accessible or scriptable tools.
  • Perform transient, frequency-domain, corner, tolerance, worst-case, and Monte Carlo analyses where appropriate.
  • Compare simulated behaviour with analytical calculations and physical measurements; diagnose invalid configurations, unstable behaviour, and incorrect modelling assumptions.
  • Build technically reproducible workflows suitable for independent verification.
  • Use Python to generate inputs, automate simulations, execute parameter sweeps, control instruments, and analyse outputs.
  • Integrate Python with EDA tools, circuit simulators, verification frameworks, and laboratory workflows.
  • Develop scripts and automated checks to improve repeatability and engineering efficiency, using code, configuration files, text-based inputs, or command-line processes.
  • Diagnose hardware issues involving component selection, parasitics, layout, power integrity, signal integrity, thermal behaviour, interfaces, or manufacturing.
  • Apply hardware bring-up, laboratory validation, design verification, or post-fabrication debugging experience.
  • Review AI-generated circuit solutions for technical and physical correctness and identify unsupported conclusions, incorrect assumptions, invalid configurations, or unrealistic results.
  • Develop reproducible reference solutions and automated verification criteria.
  • Complete project tasks to the specified requirements without using confidential or proprietary third-party information.
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