You will simulate and evaluate high-speed PCB designs, including traces, vias, transmission lines, return paths, and other interconnect structures. The work combines electromagnetic modeling, signal integrity analysis, circuit analysis, and technical documentation.
You will also compare simulation results with analytical calculations and trusted reference data. Prior AI training experience is not required, but strong practical knowledge of signal integrity, electromagnetic theory, and high-speed PCB design is important.
- Run electromagnetic simulations for PCB traces, vias, transmission lines, return paths, and interconnect structures.
- Analyze impedance, insertion loss, return loss, crosstalk, coupling, and signal propagation.
- Extract resistance, inductance, and capacitance using FastHenry and FasterCap.
- Use OpenEMS for full-wave electromagnetic simulation and S-parameter extraction.
- Use ngspice for transient and AC circuit analysis with extracted parasitic effects.
- Analyze clock and high-speed digital signals, including delay, skew, rise and fall time, and waveform-based jitter.
- Build Python automation and post-processing workflows with scikit-rf, NumPy, and SciPy.
- Document assumptions, model limitations, results, and verification evidence.
What it pays and takes
The role is open worldwide and requires English. It is a contractor, part-time project expected to run for about 13 weeks.
- Schedule: 20+ hours per week.
- Project length: approximately 13 weeks.
- Location: open worldwide.
- Language: fluent English.
- Strong knowledge of signal integrity, electromagnetic theory, and high-speed PCB design.
- Understanding of transmission lines, impedance matching, reflections, crosstalk, and return-current paths.
- Practical experience with PCB parasitic extraction and S-parameter analysis.
- Experience with at least one electromagnetic simulation tool; OpenEMS familiarity is useful.
- Knowledge of FastHenry, FasterCap, and ngspice, or equivalent tools.
- Python scripting for simulation automation and data analysis.
- Familiarity with Touchstone files and frequency-domain and time-domain analysis.
- A bachelor's or master's degree in electrical or electronics engineering is helpful.
- Five or more years of experience in signal integrity, power integrity, electromagnetic simulation, or high-speed PCB engineering is helpful.
- Experience with automotive electronics, embedded systems, or high-speed digital interfaces is helpful.
How it works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training work uses human expertise to prepare, review, and evaluate examples that help artificial intelligence systems improve. People with specialized engineering knowledge are needed to assess technical content accurately and explain why results are correct or incorrect.