Software Engineer / Sr. Software Engineer, Planning Selection (Autonomy)

DiDi; San Jose (CA); On-site; USD 141,000 - 282,000; Full time

Job summary

DiDi is seeking a talented Software Engineer / Sr. Software Engineer, Planning Selection, to contribute to the core planner engine for decision-making, trajectory generation, and evaluation.

You will apply both traditional robotics planning and machine learning methods to build robust, efficient, and safe trajectories for our autonomous vehicles in dense urban environments. This role emphasizes collaboration with cross-functional teams and delivering scalable planning solutions.

Qualifications

• 2–5+ years of software engineering experience in autonomous driving, robotics, or real-time systems.
• Strong understanding of behavior planning, decision-making, and trajectory generation algorithms.
• Solid understanding of probability, statistics, and machine learning fundamentals.

Responsibilities

• Design, implement, and maintain high-performance C++ software for trajectory generation and scoring.
• Apply probabilistic, statistical, and ML methods to assess trajectory risk and evaluate plans under uncertainty.
• Profile, optimize, and test online planning software for low-latency, memory-efficient execution on embedded platforms.
• Collaborate with Perception, Prediction, Motion Control, and Safety teams to refine evaluation metrics.

Skills

C++ production-grade

Behavior planning

Probability & ML fundamentals

Problem solving

Education

Bachelor’s degree or higher in Computer Science / Robotics / Electrical Engineering / Applied Mathematics

Job description

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 talented and mission-driven Software Engineer / Sr. Software Engineer, Planning Selection to contribute to the development of our core planner engine for decision-making, trajectory generation, and trajectory evaluation. In this role, you will apply both classic robotics behavior planning and modern machine learning algorithms to evaluate candidate trajectories, build multi-objective cost functions, and help select safe, comfortable, and efficient trajectories for our autonomous vehicles. You will play a key role in refining our data-driven methods to enable smooth and scalable unmanned operations in dense urban environments.

Responsibilities

• Design, implement, and maintain high-performance, production-grade C++ software for trajectory candidate generation and scoring.
• Apply probabilistic, statistical, and machine learning methods to assess dynamic trajectory risk, calculate maneuver probabilities, and perform trajectory evaluation under uncertainty.
• Profile, optimize, and test online planning software to ensure low-latency execution and memory efficiency on embedded production platforms.
• Collaborate cross-functionally with Perception, Prediction, Motion Control, and Safety teams to refine scenario evaluation metrics and validate closed-loop planning behavior.

Qualifications

• Bachelor’s or higher degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a closely related technical field.
• 2–5+ years of software engineering experience writing production-grade C++ in autonomous driving, robotics, or complex real-time systems.
• Strong understanding of behavior planning, decision-making, and trajectory generation algorithms.
• Solid understanding of probability, statistics, and machine learning fundamentals (e.g., classification, regression, scoring models).
• Strong problem-solving skills with the ability to decompose complex driving behaviors into clear, executable algorithms.

Preferred Qualifications

• Demonstrated track record of deploying online planning or trajectory evaluation modules onto real-world autonomous platforms.
• Familiarity with closed-loop simulation, automated data logging, and planning validation workflows.
• Experience applying Learning-to-Rank (LTR), preference learning, or reward modeling to trajectory selection or robotic decision-making.

The base salary range for the Software Engineer position is $141,463–$235,182 annually, and for the Senior Software Engineer position is $169,783–$282,264 annually, in addition to bonus, equity, and benefits. Our salary ranges are determined by the role, level, and location. Within the applicable range, individual compensation is based on the work location as well as other factors, including job-related skills, experience, and relevant education and training.

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