Synthesis/Computational Design Engineer
Closed Loop Partners, LLC., Sterling, VA, United States
Location
Sterling
Employment Type
Full time
Location Type
On-site
Department
Software
IN THIS ROLE YOU WILL
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.
WHO YOU ARE
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.
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, MuJoCo, Isaac Sim) or tolerance analysis.
Contributions to open-source geometry or robotics software.
#J-18808-Ljbffr
Sterling
Employment Type
Full time
Location Type
On-site
Department
Software
IN THIS ROLE YOU WILL
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.
WHO YOU ARE
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.
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, MuJoCo, Isaac Sim) or tolerance analysis.
Contributions to open-source geometry or robotics software.
#J-18808-Ljbffr