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Six-month intern-to-hire role evaluating robotics and autonomy systems across perception, controls, simulation, and applications. Responsibilities include designing experiments, building Python tools for data analysis and visualization, supporting sensor and vehicle testing, evaluating robotic applications, and presenting findings to engineering teams. The role requires scientific experimentation, statistical analysis, communication, adaptability, and technical proficiency in Python and Linux, with opportunities to work with robotics, sensor data, and simulation.

Develop motion planning, decision-making, vehicle control, and estimation algorithms for autonomous vehicles. Implement real-time C++ on embedded automotive hardware, build Python and C++ simulation tools, integrate planning with perception, validate software on vehicles, analyze field data, define safety metrics, and improve driving behaviors. The role requires strong software fundamentals, robotics or controls expertise, and experience deploying production-quality systems.

Develop motion planning, decision-making, vehicle control, and estimation algorithms for autonomous vehicles. Implement mission-critical real-time C++ for embedded automotive systems, build simulation and analysis tools in Python and C++, integrate with perception and platform teams, validate software on vehicles, define safety and performance metrics, analyze field data, and implement safety mitigations.

Design and implement trajectory planning and decision-making algorithms and vehicle control for autonomous vehicles. Write production-quality, real-time C++ and Python tooling, build simulation and validation systems, integrate planning with perception and platform teams, and drive on-vehicle testing, tuning, and safety analyses to deploy robust driving behaviors.