Job 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.
Duties and 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.
Required Qualifications: 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.
Educational Background: Master’s or PhD in a relevant engineering/applied science field.
Experience: 3+ years of hands-on engineering design experience, producing validated designs from competing specs (not just analysis).
Languages: Proficient in English, strong Python (or equivalent) scripting skills.
Additional Notes: Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor.
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