Senior Engineer, Mathematical Optimization

Job Description Job Description We're redefining how robots are deployed. Our platform enables users to simulate, test, and optimize entire robotic systems in parallel. By removing the barriers that have kept advanced robotics out of reach for all but the largest players, we're ushering in a new era of manufacturing—one where mass reshoring is not only viable, but inevitable. With our industrial AI platform, we enable companies to design and optimize multi-robot workcells in the cloud, eliminating the need for manual robot programming. Our Resolver technology automatically generates collision-free robot programs by optimizing workcell layouts, task allocation, and robot paths, helping customers increase throughput and reduce the cost of industrial automation before deployment. We are searching for a motivated Optimization Engineer to improve the performance, reliability and capabilities of the optimization backend of our solution. This person will play a vital role on the team and help shape the future of industrial robotics. Reporting to the Senior Director of Robotics, the Optimization Engineer will apply deep expertise in numerical optimization to support the robotics team and extend our core optimization capabilities. In this position, you will: Work with a team of robotics engineers to solve real-world automation problems using optimization and AI methods Develop and maintain dedicated solvers for large-scale numerical optimization problems in robotics applications Integrate state-of-the-art solvers for MIP, Constraint Programming, Scheduling into our product Translate product requirements into constraints and optimization objectives Improve and extend our optimization infrastructure and performance Requirements Required qualifications: Strong practical experience with numerical optimization methods (non-convex optimization, mixed-integer programming, constraint programming) and applications in operations research (scheduling, generalized TSP problems) 2+ years of applied experience with mathematical optimization libraries (e.g. Google OR-Tools, CPLEX, Gurobi, Heuristic Solvers) Strong software engineering habits, including version control and unit testing in a Linux environment; C++ knowledge is a plus MS in Mathematics, Computer Science, Robotics, or a related field Strong English communication skills, both verbal and written Ability to work in-office (Boston, MA) with flexible scheduling (~50% in-office) Ability to excel in international and collaborative teams Self-driven and able to solve challenging technical problems Desire to work in a fast-paced startup environment Experience in robotics is a plus but not required Benefits Unlimited PTO Commuting Expenses Covered Telecommunications Stipend