Synthesis/Computational Design Engineer
- Compensation
- Not disclosed
- Location
- Sterling
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Engineering design
- Posted
Skills
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.
Full description
ABOUT US
Hey! We’re Molg 👋 We’re building robotic systems that make electronics manufacturing circular. We work with hyperscalers and leading electronics manufacturers to automate how hardware is designed, manufactured, disassembled, repaired, reused, and recovered. Using robotics, computational design, and AI, our systems turn today’s e-waste into resilient, data-driven supply chains—and change how electronics are made in the first place.
A core part of what makes Molg's systems work is spatial intelligence: the ability to understand, model, and reason about complex physical environments—down to the geometry, tolerances, and dynamics of individual components. Our synthesis and computational design platform sits at the intersection of geometry, algorithms, and physical reasoning, and is central to how we automate the design and execution of manufacturing and disassembly processes at scale.
IN THIS ROLE YOU WILL:
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:
- 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.