Synthesis/Computational Design Engineer
Listed on 2026-08-07
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Software Development
Robotics, Software Engineer
Synthesis / Computational Design Engineer
Join a talented cross-functional team of robotics, software, mechanical, and electrical engineers to develop Molg's computational design and spatial intelligence platform. As a Synthesis / Computational Design Engineer, you will:
You'll have the opportunity to build alongside an incredible team, develop innovative solutions, and grow in a fast-paced environment that values autonomy and impact.
We're looking for someone who combines strong algorithmic and geometric instincts with the engineering rigor to build reliable, production-quality systems. The ideal candidate has:
- 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, Open CASCADE, 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.
Nice to have:
- 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.
We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, the…
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