Software Engineer / Sr. Software Engineer, Planning Selection Autonomy New San Jose, CA

Didi Labs; San Jose (CA); Hybrid; USD 129,000 - 215,000; Full time

Job summary

DiDi Autonomous Driving in San Jose, CA, is seeking a junior or skilled Software Engineer to develop core decision-making and motion planning systems for our autonomous vehicles. In this role you will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.

You will collaborate with Prediction, Perception, and Control teams to ensure seamless integration from environmental understanding to vehicle motion.

Qualifications

• BS/MS in Computer Science, Robotics, or related field.
• Experience in autonomous systems, robotics, or automotive software.
• Proficiency in C++ and Python for real-time algorithms.
• Strong understanding of decision-making, motion planning, and optimization.
• Experience with behavioral and motion planning concepts is a plus.

Responsibilities

• Design core behavioral planning logic for high-level actions.
• Develop and optimize motion planning algorithms with geometry and velocity reasoning.
• Architect geometry system for feasible paths.
• Refine velocity system for context-aware profiles.
• Model driving scenarios and world interactions for the planner.
• Design costs for trajectory ranking balancing ETA, comfort, safety.
• Analyze, test, debug performance; lead root-cause investigations.
• Collaborate with Prediction, Perception, and Control teams.

Skills

C++

Python

Robotics fundamentals

Decision-making

Motion planning

Optimization

Trajectory ranking

Education

B.S./M.S. in Computer Science, Robotics

Job description

Software Engineer / Sr. Software Engineer, Planning Selection Autonomy

San Jose, CA

About the Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About the Role

We are seeking a junior or skilled Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization.

Responsibilities

• Design and implement the coreBehavioral Planninglogic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents).
• Develop and optimize the motion planning algorithms that execute behavioral decisions, integratingGeometry Reasoning(path) andSpeed Reasoning(velocity) into a cohesive trajectory.
• Architect and enhance the geometry system for generating geometrically feasible and compliant paths.
• Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles.
• Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner.
• Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors.
• Conduct in-depth analysis, testing, and debugging of the system's performance in various scenarios, leading root cause investigations.
• Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.

Qualifications

• B.S./M.S. in Computer Science, Robotics, or a related field.
• E xperience in autonomous systems, robotics, or automotive software development.
• Strong proficiency in C++ and Python for implementing complex, real-time algorithms.
• Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory , trajectory ranking, search and optimization algorithms etc .
• Related experience in one or more of the following:behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design .

Preferred Qualifications

• PhD or internship experience related to robotics planning system designs .
• Knowledge of vehicle dynamics and longitudinal/lateral control systems.
• Solid understandingof machine learning principles , reinforcement learning and related algorithms.

The base salary range for this full-time position is $129,189-$214,776 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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