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