Software Engineer

Pivot Robotics · San Francisco

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

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)

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