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