Robotics Engineer: Process

Summary GrayMatter Robotics is a well-capitalized Physical AI company headquartered in Los Angeles, building Factory SuperIntelligence (FSI) through systems that learn, adapt, and develop genuine process intelligence across every part they touch. Our robots take on the tedious, hazardous, and ergonomically demanding work that has kept manufacturing dependent on a shrinking skilled workforce, delivering superhuman performance. Robotics has a demo problem. GMR doesn't. Our systems are in active production today, adapting autonomously to real geometries, real materials, and real process variation without reprogramming. We deliver our system through a Robots-as-a-Service (RaaS) model that converts capital expenditure into an operating subscription, making Physical AI accessible to the manufacturers who need it most. We hire people who want to solve hard physical problems at an industrial scale. The Problem Statement At GrayMatter Robotics, we build from the ground up, including how we architect our teams. We don’t hire for generic titles; we break our business needs down to their fundamental truths. Driven by first principles, we deconstructed our goals to see what we truly needed and as a result, we engineered this role specifically to bridge the following gap: GMR’s robots handle some of the most demanding surface finishing applications in manufacturing — sanding, polishing, coating removal — across customers like Caterpillar, Wabash, HII, and Pierce. The physics of material removal are complex, non-obvious, and deeply variable across parts and environments. We don’t just deploy robots; we build the quantitative process science that makes them work. The Process team generates that science: designing experiments, characterizing materials, building predictive models, and translating R&D into deployable, repeatable automation. We need a process engineer who thrives in exactly this kind of environment — someone who can move between ambiguous R&D problems and live customer deployments without missing a beat. Role & Responsibilities Develop and optimize robotic manufacturing processes for surface finishing applications including sanding, polishing, spray coating, and coating removal. Design and execute structured experiments (DoE methodology) to characterize material removal physics and quantify process parameters. Build and refine process models that translate experimental findings into deployable, customer-ready automation. Apply material science knowledge to understand substrate behavior at the chemical and mechanical level and use that understanding to inform process decisions. Collaborate with customers to understand their specific requirements and translate them into process specifications. Support the design and implementation of new end-of-arm tooling (EOAT) for robotic manufacturing processes. Analyze manufacturing data to identify patterns, validate models, and drive continuous process improvement.