About the role
- •Responsibilities Design, implement, and maintain robust, scalable software systems for production automation Build core libraries and services supporting motion planning, control, and perception pipelines Architect clean interfaces between software components and hardware-facing systems Develop vision and sensor-integration software that feeds downstream planning and control stacks Optimize software for performance, reliability, and deterministic behavior where required Write high-quality, testable Python code with strong emphasis on readability, correctness, and maintainability Own software engineering best practices: code reviews, testing strategies, CI/CD, and release processes Build simulation, testing, and tooling infrastructure to validate behavior prior to deployment Collaborate with robotics, controls, and hardware engineers to translate system requirements into well-defined software abstractions Contribute to architectural decisions as the software platform scales across customers and deployments Minimum Qualifications B.S. in Computer Science or a related engineering field Strong software engineering experience, especially in Python Experience designing and maintaining complex software systems (services, libraries, APIs, or pipelines) Solid understanding of data structures, algorithms, and systems design Proficiency with Git, debugging, testing frameworks, and modern development workflows Ability to work independently on ambiguous problems in a fast-paced environment Due to U.S. export control regulations (ITAR), this position is limited to U.S.
- •Persons (U.S. citizens or lawful permanent residents) Optional Qualifications M.S. in Computer Science or a related field Experience working on systems that interact with hardware, real-time constraints, or external devices Familiarity with robotics, motion planning, control systems, or computer vision (helpful but not required) Experience with ROS or similar middleware Knowledge of performance optimization, concurrency, or distributed systems Experience deploying software to edge, embedded, or hybrid cloud environments