Software Engineer / Sr. Software Engineer, Planning Selection Autonomy
DiDi Labs · San Jose, CA
Posted 5 days ago · $129,189-$214,776
or apply directly on DiDi Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 5 days DiDi Labs's roles stay open a median of 17 days
- Reposted
- No
- Salary listed
- Yes 88% of DiDi Labs's roles list one
- Ghost-job risk at DiDi Labs
- low 0 stale, 0 reposted of 16 open
- Hiring momentum
- 25 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from DiDi Labs's own greenhouse board since 2026-08-03. Full hiring picture for DiDi Labs.
About this role
The Software Engineer/Sr. Software Engineer will focus on developing core decision-making and motion planning systems for autonomous vehicles. Responsibilities include designing algorithms for navigation, optimizing motion planning, and collaborating with other teams to ensure effective vehicle motion based on environmental understanding.
- benefits
- 2/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DiDi Labs as an employer.
What you need
- 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 for implementing complex, real-time algorithms
- Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms
- Related experience in behavioral planning, motion planning, behavior and world environment reasoning, trajectory ranking and cost design
Nice to have
- 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, reinforcement learning and related algorithms
What you get
- Base salary range of $129,189-$214,776 annually
- Bonus
- Equity
- Benefits
Worth weighing
- Position is open to junior or skilled candidates, which may imply varying levels of expectation
- Focus on complex algorithms and systems may require a steep learning curve for less experienced candidates
Summarised from DiDi Labs's posting. Read the full original.
Listed by DiDi Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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