Software Engineer

San Francisco

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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

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