{"id":"4161271728","title":"Software Engineer – Motion & Behavioral Planning ","posted_at":"2026-04-21T06:49:41.000Z","apply_url":"https://job-boards.greenhouse.io/didi/jobs/7835345","locations":["San Jose, CA"],"employment_type":"full_time","workplace_type":null,"seniority_level":"internship","description_language":"en","source_name":"greenhouse","source_url":"https://job-boards.greenhouse.io/didi/jobs/7835345","salary":{"min":148594,"max":247038,"currency":"USD","period":"year","display":"$148,594–$247,038"},"job_summary":"DiDi Autonomous Driving is a company dedicated to developing Level 4 autonomous driving technology for shared-mobility fleets. This role involves developing core decision-making and motion planning systems, including behavioral reasoning and trajectory optimization for autonomous vehicles.","job_description":{"responsibilities":["Design and implement core Behavioral Planning logic for high-level vehicle actions.","Develop and optimize motion planning algorithms integrating path and velocity reasoning.","Architect and enhance geometry systems for feasible path generation.","Architect and refine velocity systems for safe and comfortable profiles.","Model complex driving scenarios and agent interactions for a robust world model.","Design trajectory ranking costs to balance ETA, comfort, and safety.","Conduct performance analysis, testing, and root cause investigations.","Collaborate with Prediction, Perception, and Control teams."],"minimum_qualifications":["B.S./M.S. in Computer Science, Robotics, or a related field.","Experience in autonomous systems, robotics, or automotive software development.","Strong proficiency in C++ and Python.","Solid understanding of robotics fundamentals including decision-making, motion planning, and control theory.","Experience in behavioral planning, motion planning, or trajectory ranking."],"preferred_qualifications":["PhD or internship experience related to robotics planning system designs.","Knowledge of vehicle dynamics and longitudinal/lateral control systems.","Solid understanding of machine learning principles and reinforcement learning."]},"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":"San Jose","job_state":"CA","job_country":"US","location_lat":37.336157,"location_lng":-121.890608,"keywords":["machine learning","Collaborate","performance","algorithms","real-time","debugging","efficient","ecosystem","business","leading","testing","privacy","develop","design","Python","agents","social","teams","speed","data","C++","C+"],"company":{"name":"DiDi Labs","logo_url":"https://img.logo.dev/didi-labs.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"DiDi Autonomous Driving is a technology company focused on the research, development, and application of Level 4 autonomous driving systems integrated into shared-mobility fleets.","website_url":null,"linkedin_url":null,"glassdoor_url":null,"x_url":null,"instagram_url":null,"youtube_url":null,"github_url":"https://github.com/didilabs","huggingface_url":null,"tiktok_url":null,"crunchbase_url":null,"facebook_url":null,"employee_count_range":"11-50","employee_count":20,"founded_year":2017,"headquarters":{"address":"450 National Ave, Mountain View, CA 94043, United States","city":"Mountain View, CA","country":"US","lat":37.3893889,"lng":-122.0832101},"industry":"other","company_type":"startup","total_funding_usd":null,"locations":["San Jose, CA"]}}