Mechanical Simulation Task Designer

IXO is engaging specialists to evaluate mechanical simulation tasks that can be run and judged programmatically. Your contribution is technical work: make the reasoning inspectable, identify substantive errors and provide evidence that supports a reliable assessment.

Work you will do

• Turn a mechanical problem into a reproducible model, mesh and solver workflow driven through code or the command line.
• Use Python and appropriate engineering tools to obtain reference results and check physical plausibility.
• Define objective tests, document numerical assumptions and explain how the environment distinguishes a correct solution from an accidental match.

Required background and routes

• A mechanical or related engineering master's/doctorate, or a mechanical bachelor's plus at least one to two years in relevant design, simulation, analysis, testing or R&D.
• Applied mechanics, computational engineering and practical Python/coding-agent skills. Use an appropriate command-line or programmable solver/CAD/meshing stack; equivalent tools are acceptable and no single Python library is mandatory.

Deliverables

Submit the completed technical artifact or assessment with its supporting evidence, explicit assumptions, reproducible checks where applicable, and concise reasons for each material judgment. Address review findings within the agreed scope.

Location and schedule

Remote assignments are scheduled by agreement, with no guaranteed weekly volume. Availability planning can include 15 hours per week depending on the track. IXO confirms the applicable timing before work.

Pay and working terms

Per completed task; fee agreed before work USD. Payment is for a completed task that meets the agreed acceptance criteria. The fee, task specification and revision requirements are agreed before work; an advertised time estimate does not determine payment. Applying does not guarantee an assignment. Use public, licensed or otherwise authorized material only; do not submit confidential employer information, personal data or restricted research.