Senior Software Engineer, Computational Geometry

Machina Labs • US

PythonC++ Hybrid

About Machina Labs

Machina Labs was founded in 2019 to redefine how the world manufactures. Based in Los Angeles, we are pioneering the software-defined factories of the future—where advanced robotics and artificial intelligence replace rigid tooling and enable rapid, flexible production at any scale.

Our mission is simple yet transformative: unlock manufacturing and unconstrained innovation. By developing modular robotic forming systems, we empower industries such as aerospace, automotive, and defense to design, prototype, and produce with unprecedented speed, efficiency, and sustainability.

Backed by leading deep-tech investors, including NVIDIA’s NVentures, Innovation Endeavors, and Lockheed Martin Ventures, Machina Labs is building the first commercial robotic sheet metal forming machines—creating a future where manufacturing is as agile and adaptive as software.

Every day, we work side by side with some of the world’s most innovative organizations to solve their toughest challenges and accelerate the pace of progress. At Machina Labs, we’re not just building robots; we’re reshaping entire industries.

Join us as we bring the factory of the future to life!

About The Role

We are seeking a Senior Software Engineer, Computational Geometry who will be a cornerstone in developing the geometry and path planning capabilities of our robotic sheet-metal forming platform. You will bring deep expertise in computational geometry while collaborating closely with robotics, manufacturing, and software engineers to deliver solutions that directly impact our customers in aerospace, defense, automotive, and beyond.

This is not a backroom algorithm role - your work will influence our product roadmap, our customer experience, and the direction of the company.

What You’ll Do:

Shape our geometry pipeline by leading the development of robust geometry ingestion and processing systems to transform complex CAD files into robot-ready parts.

Innovate our path planning through the design and implementation of algorithms that expand the operational envelope of our robotic forming cells.

Prototype and validate by rapidly testing new approaches while building high-quality, production-ready code for proven solutions.

Bridge disciplines partnering with robotics and manufacturing engineers to troubleshoot, optimize, and validate geometry and path strategies on physical hardware.

Model and simulate by building kinematic models, optimizers, and analysis tools to validate paths before they hit the robot floor.

Uphold excellence through ensuring code quality with testing, documentation, and reviews aligned to Machina’s engineering standards.

What You'll Bring:

MS or PhD. in Data Science, Computer Science, Machine Learning, Statistics, or a related field.

5+ years of experience in computational geometry, path planning, or related fields.

Strong background in linear algebra, trigonometry, differential equations, and algorithm design.

Proficiency in both Python and C++, with hands-on use of libraries such as Numpy (Python) or Eigen (C++).

Proven ability to manipulate meshes, vectors, and transforms in 2D and 3D.

Experience with CAD file formats (STEP, IGES) and graphics-adjacent work (GPU acceleration, ray tracing, geometry kernels).

Familiarity with robotics, kinematics, or physics-based modeling is a strong plus.

A track record of solving complex problems in fast-paced, iterative environments—independently and within teams.

Excellent communication skills; able to explain technical concepts clearly to both engineers and non-engineers.

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