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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.
Nice to Have
- Experience designing engineering coursework, exam problems, or design challenges at 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.
Must Haves:
- Master’s or PhD in a relevant engineering/applied science field.
- 3+ years of hands-on engineering design experience, producing validated designs from competing specs (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.
Please Note This is a short term remote contract role with Turing and you need to work for min 4 mandatory hours of US PST Time Zone (overlap) if you are interested in this role and willing to join immediately please email your resume to sweatha@amrapaliservices.in mentioning your current CTC, expected CTC and Notice Period in your email.
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