Role Overview

We are looking for experienced engineers with deep design expertise to create challenging, simulation-based design problems for training and evaluating advanced AI models. The role focuses on crafting realistic engineering design tasks where a model must make genuine trade-offs, size components, and iterate against physics-based simulators to meet competing specifications.

Key Responsibilities

• Design and validate simulation-based engineering problems that require true design reasoning, with clear constraints and optimization goals.
• Deliver complete problem sets including reference solutions, near-miss variants, edge cases, and documentation; ensure appropriate difficulty with multiple failure modes; and collaborate with researchers to refine problems based on model performance.

Domain Tracks

• You should have deep design expertise in at least one of the following; expertise spanning multiple tracks is a strong plus.
• Electrical & Computer Engineering — analog/mixed-signal IC design, power electronics, RF/microwave, digital system design, FPGA/ASIC, embedded systems.
• Mechanical Engineering — structural/thermal/fluid system design, mechanism design, HVAC, vibration/dynamics, manufacturing process design.
• Chemical Engineering — reactor design, process design and optimization, separation systems, transport phenomena, combustion and thermochemistry.
• Control Systems — classical and modern control design, state estimation, nonlinear and robust control, system identification.
• Materials / Nano — materials selection under constraints, microstructure-property design, thin-film and nanoscale device design.
• Engineering Physics / Optics — optical system design, photonic device design, laser systems, wave propagation and interference.
• Aerospace Engineering — aerodynamic design, propulsion sizing, orbital mechanics, flight dynamics and stability, structural design for aerospace loads.
• Civil / Structural Engineering — structural member and connection design, foundation design, seismic/wind loading, geotechnical design.
• Nuclear / Energy — reactor core design, shielding, thermal-hydraulics, renewable energy system sizing, grid-scale storage design.
• Systems Engineering — system architecture trade studies, requirements decomposition, interface design, multi-subsystem integration.
• Robotics — kinematic/dynamic design, motion planning, actuator and sensor selection, mechatronic system integration.

Required Qualification

• Master’s or PhD in a relevant engineering or applied science field.
• 3+ years of hands-on engineering design experience, producing validated designs from competing specifications (not just analysis).
• Proficient in at least one open-source simulation tool relevant to the domain.
• Strong Python (or equivalent) scripting skills.
• High attention to detail across units, boundary conditions, convergence, and physical realism.

Nice to Have

• Experience designing engineering coursework, exam problems, or design challenges at the graduate level.
• Familiarity with CI/CD pipelines or automated testing frameworks.
• Exposure to LLM evaluation, AI benchmarking, or training data curation.
• Cross-domain familiarity with Control Systems, Embedded/Robotics, or Power Systems.