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Mercor is partnering with a leading AI lab to measure how frontier AI models perform real engineering design work. We're hiring experienced CAD, PCB, and 3D design engineers to build realistic, difficult design tasks that expose where AI still falls short.
You will design a realistic engineering problem (a prompt, input files, and a grader that checks the result), run it against frontier models, and refine it until it is fair, realistic, and hard. Realism always comes before difficulty.
Mercor is partnering with a leading AI lab to measure how well frontier AI models perform real engineering design work. We're hiring experienced CAD, PCB, and 3D design engineers to build realistic, difficult design tasks that expose where AI still falls short.
You'll design a realistic engineering problem (a prompt, input files, and a grader that checks the result), run it against frontier models, and refine it until it is fair, realistic, and hard. Realism always comes before difficulty.
Mechanical CAD: parts, assemblies, mechanisms, and tolerancing. Professional experience with SolidWorks, AutoCAD, FreeCAD, or a comparable CAD tool is the baseline; Siemens NX and/or CATIA experience is highly valued. Tasks are built with code-based CAD (build123d, CadQuery, OpenCASCADE) and mesh tools (trimesh, manifold3d, Open3D)
Electronics / PCB: schematic capture, layout, DRC/ERC, footprints, and enclosure fit using KiCad (kicad-cli, pcbnew Python API); openEMS or RF/EM simulation is a plus
3D / Spatial-Temporal: scene construction, animation, rigging, physics, and camera work in headless Blender driven by Python, plus rendering with PyVista/VTK
Turn real design work from your field into self-contained tasks: a prompt, input files (STEP, KiCad projects, .blend files, meshes), and an automated grader
Build and iterate on tasks with an AI coding agent (Claude Code) and version them in Git
Run each task against frontier models, read the model transcripts, and close leaks and shortcuts until the task is hard for the right reasons
Pass automated QA and peer review, and document the rationale behind any synthetic data you create
Attend onboarding and calibration sessions
Have 3+ years of hands-on design experience in at least one track (industry, research lab, or serious freelance work)
For the Mechanical CAD track: have hands-on professional experience with SolidWorks, AutoCAD, FreeCAD, or a comparable CAD tool
Have shipped real deliverables: fabricated boards, manufactured parts, production 3D assets, or published research
Can share a portfolio of your own design work (a portfolio link is required to apply)
Write Python as part of your engineering work and are comfortable with the command line and Git
Can judge whether a design is actually correct, not just whether it looks right
Siemens NX and/or CATIA experience (parts, assemblies, surfacing, drawings, or PLM such as Teamcenter/ENOVIA)
Experience scripting design tools: build123d/CadQuery, FreeCAD Python, NX Open, KiCad scripting, or Blender's Python API (bpy)
FEA, CFD, circuit, or EM simulation experience
Degree (BS/MS/PhD) in Mechanical, Electrical, Aerospace, Robotics, Computer Graphics, or a related field
Prior AI training, benchmark, or evaluation work, or heavy daily use of AI coding agents
Minimum 20 hours per week, active at least 5 days per week
Role starts immediately, and applications are reviewed on a rolling basis