What This Opportunity Involves

You design computational engineering problems to challenge a frontier AI model. The problem must have an answer verifiable by code, and the problem has to require a specialized tool like Cantera, CoolProp, CalculiX, OpenFAST, or others. Generic numerical libraries on their own won't cut it. Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer.

Responsibilities

• Pick an anchor tool and design a problem that hinges on its solvers, simulation kernels, or domain‑specific models.
• Write a Python reference solution, supply input files and geometry or mechanism definitions where needed.
• Decide the numerical answer and how close the model needs to get — with a domain‑appropriate tolerance — to count as right.
• Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent on...