About Machina Labs At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.

Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.

With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.

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.

$140,000 - $200,000 a year

In addition to the provided base salary range, this role also offers comprehensive benefits (Medical, Dental, Vision), PTO, and Stock Options

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.