Signal Integrity and Electromagnetic Simulation Engineer

You will develop and run simulation workflows for high-speed PCB designs used to train and validate AI models. The work covers electromagnetic modeling, circuit analysis, signal integrity, and technical documentation.

• Simulate PCB traces, vias, transmission lines, return paths, and other interconnect structures.
• Analyze impedance, insertion loss, return loss, crosstalk, coupling, and signal propagation.
• Extract resistance, inductance, and capacitance using FastHenry and FasterCap.
• Run full-wave electromagnetic simulations and extract S-parameters with OpenEMS.
• 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.
• Compare simulation results with analytical calculations and trusted reference data.
• Document assumptions, model limits, results, and verification evidence.

What it pays and takes

This is a contract, part-time role. Pay details are not provided in the listing.

• Hours: 20 or more per week.
• Location: Open worldwide.
• Language: Professional fluency in English.
• Education: A bachelor's or master's degree in electrical or electronics engineering is helpful.
• Background: Five or more years in signal integrity, power integrity, electromagnetic simulation, or high-speed PCB engineering is helpful.
• Required knowledge: Signal integrity, electromagnetic theory, high-speed PCB design, transmission lines, impedance matching, reflections, crosstalk, and return-current paths.
• Tools and analysis: PCB parasitic extraction, S-parameter analysis, Touchstone files, frequency-domain analysis, and time-domain analysis.
• Software: Python scripting, plus FastHenry, FasterCap, ngspice, or equivalent tools. Experience with OpenEMS is desirable.
• Helpful experience: Automotive electronics, embedded systems, or high-speed digital interfaces.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind modern AI systems. Engineers and other specialists create, check, and evaluate technical examples so models can produce more reliable results, and domain expertise matters when the work requires careful technical judgment.