Synthesis​/Computational Design Engineer

Location

Sterling

Full time

On-site

Software

• Design and implement algorithms for geometric reasoning, spatial analysis, and computational synthesis—enabling Molg's systems to automatically understand and operate on complex physical assemblies.

• Build the computational backbone for automated process planning: translating 3D representations of electronics into actionable, robot-executable sequences for assembly, disassembly, repair, and recovery.

• Develop tools and pipelines for working with 3D geometry—including mesh processing, point cloud analysis, CAD interoperability, and physics-informed simulation—to support perception, planning, and verification workflows.

• Collaborate with robotics and controls engineers to close the loop between spatial models and physical execution—ensuring that synthesized plans are feasible, robust, and safe.

• Contribute to the design and evolution of Molg's internal data models for representing products, components, processes, and spatial relationships across the manufacturing lifecycle.

• Prototype and evaluate new approaches to geometric search, constraint solving, and design space exploration—drawing from fields like computational geometry, CAD/CAM, and generative design.

• Build scalable, production-grade software that integrates computational design capabilities into Molg's broader robotics and microfactory platform.

• Participate in design reviews and technical discussions, bringing rigorous geometric and algorithmic thinking to cross‑functional problems.

• Stay current with advances in computational design, geometry processing, and spatial AI—identifying and applying relevant techniques to Molg's challenges.

• 5+ years of experience in computational geometry, geometric computing, computational design, CAD/CAM software development, or a closely related field.

• Proficiency in Python and/or C++, with experience writing performance-sensitive geometric or numerical code.

• Deep familiarity with 3D geometry representations—meshes, point clouds, solid models (B-rep), voxel grids, or implicit surfaces—and the algorithms that operate on them.

• Experience with one or more geometry processing or computational design tools or libraries (e.g., Open3D, CGAL, libigl, OpenCASCADE, Rhino/Grasshopper, or similar).

• Strong understanding of linear algebra, computational geometry fundamentals, and numerical methods as applied to 3D problems.

• Comfort working in a research‑to‑production context: able to prototype rapidly, then harden and scale solutions for real‑world deployment.

• Experience integrating geometric pipelines with downstream systems—robotics, simulation, databases, or web services.

• A track record of shipping complex technical work end‑to‑end, not just prototyping.

• Excellent communication skills; able to explain geometric and algorithmic concepts clearly to engineers from different disciplines.

• Experience with robotic motion planning, task planning, or manipulation—particularly in the context of geometric reasoning.

• Familiarity with machine learning approaches to geometry (e.g., 3D neural representations, learned shape descriptors, or spatial transformers).

• Background in electronics manufacturing, PCB design, or physical product development.

• Experience with physics simulation (e.g., PyBullet, Mu Jo Co , Isaac Sim) or tolerance analysis.

• Contributions to open-source geometry or robotics software.