Quick facts
- Type
- Part-time
- Location
- Remote
- Hours
- 40+ hours / week
- Background
- Master's degree
- Experience
- 5+ years
- Skills
- Python
- Platform
- Turing — 252 open jobs
- Typical pay at Turing
- $15–30/hour · median $15 (19 jobs on our site)
- Payout
- Bank transfer, Deel (monthly)
- Apply
- Free to apply — never pay to get AI training work
This role is also open in other regions
Analyze PCB designs through electromagnetic and signal integrity simulations.
About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Role Overview
Responsible for developing and executing electromagnetic and signal-integrity simulation workflows for PCB designs, analyzing interconnect behavior, parasitic effects and signal quality, and generating technically validated simulation evidence.
Key Responsibilities
- Perform electromagnetic simulations of PCB traces, vias, transmission lines, return paths and interconnect structures.
- Analyze impedance, insertion loss, return loss, crosstalk, coupling and signal propagation.
- Perform resistance, inductance and capacitance extraction using FastHenry and FasterCap.
- Use OpenEMS for full-wave electromagnetic simulations and S-parameter extraction.
- Use ngspice for circuit-level transient and AC analysis incorporating extracted parasitics.
- Analyse clock and high-speed digital signals, including propagation delay, skew, rise/fall time and waveform-based jitter metrics.
- Develop Python-based automation and post-processing workflows using libraries such as scikit-rf, NumPy and SciPy.
- Correlate simulation results with analytical calculations and trusted reference data.
- Document simulation assumptions, model limitations, results and verification evidence.
Required Skills
- Strong fundamentals in 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 EM simulation tool; familiarity with OpenEMS is desirable.
- Knowledge of FastHenry, FasterCap and ngspice, or equivalent tools.
- Python scripting for simulation automation and data analysis.
- Familiarity with Touchstone files, frequency-domain and time-domain analysis.
Preferred Qualifications :
- Bachelor's or Master's degree in Electrical/Electronics Engineering.
- 5+ years of relevant experience in SI, PI, electromagnetic simulation or high-speed PCB engineering.
- Experience with automotive electronics, embedded systems or high-speed digital interfaces.
Project Details:
- Contract Start Date: Expected to start as soon as possible
- Engagement: ~13 weeks (with potential chances of extension)
- Commitment - 40 hours/week
- Engagement Type: Contract
- Selection process: 1 AI Interview and 1 Interview with our team
Skills: KiCad, Electronics
Turing started as a marketplace for remote software engineers and now focuses on training and evaluating AI models for frontier labs. Most listings are for developers who write, review and debug code used to improve LLM coding ability.