Software Engineer - Autonomy

Responsibilities

• Design, implement, and optimize real-time onboard software modules, including perception, sensor fusion, path planning execution, vehicle control, and safety monitoring.
• Maintain and improve the middleware layer connecting lidar, radar, cameras, and GPS/IMU sensors to autonomy algorithm consumers.
• Own latency and throughput performance across the onboard compute stack by profiling and tuning for deterministic behavior under resource constraints.
• Implement ASIL-relevant architecture patterns, including fault detection, isolation, and recovery mechanisms.
• Build diagnostics, logging, and observability tooling for post-drive analysis and rapid root-cause investigations.
• Write thorough unit, integration, and hardware-in-the-loop (HIL) tests; contribute to CI/CD pipelines for onboard compute targets.
• Collaborate with the autonomy team to productionize research algorithms by translating prototype software into efficient C++ deployments.

Requirements

• Bachelor's degree in Computer Science or a related field.
• 2+ years of professional software development experience.
• Exceptional proficiency in C++ and experience with modern C++ standards.
• Experience working in a Linux environment.
• Knowledge of data serialization formats such as Protobuf and JSON.

Nice-to-haves

• Experience with robotics middleware such as ROS or DDS.
• Background in autonomous-vehicle perception, prediction, or planning systems.
• Familiarity with vehicle data buses such as CAN and Ethernet.
• Experience with multithreaded and concurrent programming.
• Experience in a startup or fast-paced environment.