Company

Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a smart manufacturing company based in Los Angeles, California. Enabled by advancements in artificial intelligence and robotics, Machina Labs is developing software-defined factories of the future. The mission of the company is to develop modular manufacturing solutions that can be reconfigured to manufacture new products simply by changing the software. The company is currently working to build the first commercial robotic sheet metal forming machine. Machina Labs is funded and backed by major investors in the field of AI and Deep Tech.

As the Lead Computational Geometry Software Engineer within our team, you will play a pivotal role in shaping our product and guiding the direction of our company. Leveraging your expertise in computational geometry, you will take ownership of critical aspects of our software development process. Your responsibilities will encompass developing advanced geometry ingestion pipelines for efficient processing of customer parts and spearheading the creation of innovative path planning algorithms to enhance the capabilities of our machines. Your role will demand the ability to swiftly prototype solutions for testing concepts while also delivering high-quality, reliable code for proven concepts.

The ideal candidate will demonstrate proficiency in programmatically manipulating mesh geometry, vectors, and transforms. A strong foundation in linear algebra, differential equations, trigonometry, and algorithms is essential. Additionally, experience in graphics work, GPU acceleration, ray tracing, and related fields will be advantageous. Familiarity with robotics and robot kinematics is highly beneficial, as is expertise in mathematical domains such as discrete or differential geometry.

Responsibilities

• Lead the development of geometry processing algorithms to automate the preparation of customer parts for path planning.
• Drive the creation of innovative pathing strategies to extend the operational capabilities of our machines.
• Collaborate with robotics and manufacturing engineers to troubleshoot and optimize path strategies for efficient implementation on our robots.
• Develop tools for path and geometry analysis to enhance insights into our manufacturing processes.
• Contribute to the development of material models relevant for path planning applications.
• Design and implement kinematic models, simulators, and optimizers to validate generated paths.
• Ensure code quality through rigorous unit testing and comprehensive documentation of geometry manipulation functions.
• Utilize Python and C programming languages as needed to deliver both high-level and low-level functionality.

• Bachelor's degree in computer science or equivalent practical experience.
• Minimum of 5 years’ experience in geometry manipulation and/or path planning.
• Proficient in writing high-quality Python and C code.
• Deep understanding of computational mesh manipulation techniques in both 2D and 3D domains.
• Extensive experience applying linear algebra in computational contexts.
• Knowledge of Numpy (Python) and Eigen (C ) is advantageous.
• Ability to develop efficient algorithms both theoretically and practically.
• Familiarity with CAD file formats such as STEP or IGES is a plus.
• Experience in fast-paced iterative design and manufacturing environments.
• Proven track record of solving complex problems independently or within integrated teams, adhering to tight schedules.
• Excellent written and verbal communication skills.