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Circuit Design Expert

$80–$150/h

Global, fully remote

Role overview

Circuit Design Expert

Pay: $80–$150/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for a highly skilled Circuit Design Expert to contribute to an AI training project involving electronic hardware, circuit simulation, programmatic EDA workflows, verification, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks related to analog, digital, power, mixed-signal, or RF circuits. A representative task may require interpreting circuit requirements, producing or modifying a netlist or hardware description, running simulations or verification tools from the command line, analyzing the resulting outputs, and determining whether the design satisfies its electrical and functional constraints.

This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.

What You’ll Work On

  1. Design, analyze, and validate analog, digital, power, mixed-signal, or RF circuits.
  2. Translate electrical requirements into schematics, netlists, models, HDL, constraints, or simulation inputs.
  3. Run circuit simulation, synthesis, verification, or related workflows using command-line-accessible tools.
  4. Use Python to generate inputs, automate simulations, run parameter sweeps, control instruments, and analyze results.


Required Qualifications

  1. An MS or PhD in Electrical Engineering or a closely related discipline; or
  2. A BS in Electrical Engineering plus at least 1–2 years of relevant professional circuit-design experience.
  3. Meaningful experience designing analog, digital, power, mixed-signal, or RF circuits.
  4. Experience with designs that were fabricated, integrated, shipped, or taped out—not only simulated.
  5. Practical proficiency with Python and coding agents


Relevant tools may include ngspice, Xyce, Yosys, Verilator, KiCad scripting, SPICE-compatible simulators, HDL simulators, synthesis tools, or equivalent programmatic EDA software. Experience with a comparable CLI-accessible tool is acceptable.

Relevant Python tools may include PySpice, NumPy, SciPy, pandas, Matplotlib, cocotb, instrument-control libraries, EDA APIs, or internally developed automation tools. No single library is mandatory.

Process

  1. Apply to the role and complete the screening questions.
  2. Complete an AI interview of approximately 30 minutes.
  3. Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

  1. We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →