We are sharing a specialised part-time consulting opportunity for experienced circuit design and electrical engineering professionals with strong expertise in analog, digital, power, mixed-signal, or RF systems, programmatic EDA workflows, hardware verification, and Python to contribute to an advanced AI training and engineering evaluation project. Selected professionals will create, solve, review, and validate circuit-design tasks involving real-world hardware, simulation, verification, and programmatic engineering workflows. The work requires practical circuit-design experience beyond academic simulation, including exposure to designs that have been fabricated, integrated, shipped, or taped out, together with the ability to work through scripts, text-based inputs, command-line tools, or programmatic APIs.
Key Responsibilities
Circuit Design & Electrical Analysis
- 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 voltage, current, power, gain, bandwidth, impedance, noise, timing, stability, thermal behaviour, and related electrical characteristics
- Assess component selection, operating margins, tolerances, and design trade-offs
- Determine whether circuit implementations satisfy intended electrical and functional requirements
Simulation, Verification & EDA Workflows
- 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 against analytical calculations and physical measurements
- Diagnose invalid configurations, unstable behaviour, or incorrect modelling assumptions
- Build technically reproducible workflows suitable for independent verification
Python Automation & Programmatic Engineering
- 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
- Work with tools such as PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, or comparable libraries
- Develop scripts and automated checks that improve repeatability and engineering efficiency
- Ensure engineering tasks can be reproduced through code, configuration files, text-based inputs, or command-line processes
Hardware Validation & Technical Review
- Diagnose issues involving component selection, parasitics, layout, power integrity, signal integrity, thermal behaviour, interfaces, or manufacturing
- Apply experience from hardware bring-up, laboratory validation, design verification, or post-fabrication debugging
- Review AI-generated circuit solutions for technical and physical correctness
- Identify unsupported conclusions, incorrect assumptions, invalid circuit configurations, or unrealistic results
- Develop reproducible reference solutions and automated verification criteria
Ideal Profile
- MS or PhD in Electrical Engineering or a closely related discipline
- Alternatively, a BS in Electrical Engineering with 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 for this engagement
- Practical proficiency with Python
- Experience with at least one EDA, circuit-simulation, PCB, HDL, synthesis, or verification tool supporting CLI, scripting, text-based inputs, or a programmatic API
- Relevant tools may include ngspice, Xyce, Yosys, Verilator, KiCad scripting, SPICE-compatible simulators, HDL simulators, synthesis tools, or comparable platforms
- 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
Engagement Details
- Part-time independent contractor engagement
- Fully remote and open to candidates worldwide
- Compensation: $80–$130/hour
- Expected commitment: approximately 15 hours per week
- Schedule is flexible, including the option to work evenings or weekends
- Compensation is output-based, with payment made for tasks that meet project specifications
- Minimum submission requirements apply
- Work will involve circuit design, programmatic EDA workflows, Python automation, engineering simulation, verification, and hardware-focused technical review
- Selected professionals should be prepared to begin their first task within approximately 24–48 hours of completing onboarding
- Roles are typically filled within approximately 48 hours
- The selection process may include screening questions, an approximately 30-minute AI interview, and hiring-manager review
- Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, research group, or other third party
About the Platform
- This opportunity is available through 24-MAG LLC
- We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams
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