Senior Research Engineer, Generative 3D

New

MimoLabsGenerative CAD

Remote across the USFull-TimeSenior

Salary$170K–$220K base and equity, four-year vesting with a one-year cliff.

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Job Details

Experience: 6+ years in computational geometry, CAD kernel or geometry-processing development
Required Skills: PythonC++

Have 6+ years of experience in computational geometry, CAD kernel or geometry-processing development, with work you can show.
Have B-rep kernel depth, including kernel internals and underlying mathematics; experience with Parasolid, ACIS or an equivalent is specified.
Know implicit modeling and signed distance fields, including conversion between implicit, B-rep and mesh representations.
Have computational geometry experience on meshes, including booleans, watertight repair, remeshing, collision and robust predicates.
Have finite-element analysis or equivalent physics-based verification experience, including meshing for analysis and solver integration, in production or research.
Use Python and C++.
Have shipped production geometry software or published geometry research you can point to.
Nice to have: topology optimization and physics-driven generative design.
Nice to have: Rust, feature trees and history-based modeling internals, feature recognition on B-rep, or 2D constraint solvers.
Nice to have: additive and subtractive manufacturing process knowledge, GPU geometry, differentiable geometry, or contributions to open-source geometry kernels or libraries.

Build methods to generate manufacturable CAD from intent across B-rep, implicit and mesh representations.
Integrate meshing, finite-element analysis and physics-based verification into geometry generation.
Build pipelines and tools to analyze, check and characterize CAD and mesh files at scale.
Develop feature and tolerance extraction, manufacturability checks, and repair workflows for watertight geometry.
Own exact geometry interchange and assemblies, including STEP, IGES, 3MF and mesh formats.
Research geometry methods, prototype relevant approaches and write recommendations on what to build next.
Set team conventions for tolerances, performance and correctness.

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