Robotic Process Engineer - Automotive

Engineering moves at software speed.

Manufacturing doesn't.

Yet.

Machina Labs is changing that.

We build intelligent, software-defined factories that produce complex metal structures directly from digital design.

By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.

If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.

As a Robotic Process Engineer at Machina Labs, you will play a key role in enabling RoboForming, our robotic incremental sheet metal forming process, through CAD manipulation, robot tool path generation, and process optimization.

You'll work with our RoboCraftsman system and internal software stack to convert digital part designs into robotic tool paths, analyze scan and forming data, rapidly iterate on forming strategies based on real-world feedback, and support iterative development of forming strategies.

This role is hands-on and collaborative, with a strong emphasis on digital tooling, data-driven improvement, and integration with advanced robotic systems.

This role will put you in charge of optimizing our manufacturing process to form sheet metal parts for automotive applications.

You’ll be required to learn the specific requirements and domain knowledge of the auto industry, work with engineers, designers and fabricators from different car manufacturers, and develop new hardware and software to push our automotive sheet metal forming capabilities.

• Generate and modify CAD models for structural frame components and exterior body panels to ensure compatibility for RoboForming.
• Use internal software stack to convert CAD into robot tool paths for execution on the RoboCraftsman.
• Analyze RoboForming data and 3D scan results to assess part quality and identify areas for improvements.
• Design and execute structured experiments (DOE) to optimize forming parameters and tool path strategies.
• Collaborate with product managers, hardware development teams, software engineers, and manufacturing engineers to improve and develop new tools, workflows and tool path strategies.