募集要項
- 仕事内容
-
This role focuses on developing and implementing decision-making and planning algorithms for autonomous heavy trucks on highways and structured roads.
- Modeling driving scenarios using vehicle state, road conditions, navigation data, and obstacle predictions.
- Designing planning strategies, cost models, constraints, and optimization methods to balance safety, comfort, and traffic efficiency.
- Improving decision-making in complex traffic situations, including cut-ins, merging, lane changes, congestion, and construction zones.
- Implementing, optimizing, and integrating real-time planning algorithms for onboard systems.
- Developing simulation scenarios, automated testing, evaluation metrics, and tools for issue analysis.
- Analyzing real-world and simulation data to identify corner cases and continuously improve system performance.
- Collaborating with Prediction, Localization, Mapping, Control, and Simulation teams.
- 応募資格
-
- 必須
-
Bachelor’s degree or above in Computer Science, Automation, Vehicle Engineering, Robotics, Mathematics, or a related field.
Strong algorithm and programming skills, with C++ proficiency and experience in code design, debugging, and implementation.
Solid mathematical knowledge, including optimization, probability, statistics, numerical methods, and vehicle kinematics/dynamics.
Ability to model complex real-world problems, develop practical solutions, and work independently in unfamiliar technical areas.
Strong commitment to code quality, communication, and teamwork.
Proficiency in reading and writing Chinese for technical documentation and communication, plus English reading skills equivalent to CET-6 or above.
- 歓迎
-
・Experience in planning for production of autonomous driving systems or L4 autonomous driving, especially in highway scenarios.
・Experience handling complex scenarios such as lane changes, merges, cut-ins, ramps, and construction zones.
・Familiarity with planning representations such as Frenet / Cartesian and ST-SL, as well as trajectory optimization, optimal control, and MPC.
・Experience with interactive decision-making, joint prediction and planning modeling, or learning-based planning.
・Familiarity with planning frameworks such as Apollo or Autoware, or experience with simulation, evaluation, and data-driven development loops.
・Experience in performance optimization, research publications, competitions, open-source contributions, or on-vehicle deployment.
- 雇用形態
- Full Time / 正社員
- 勤務地
- 東京都
- 勤務時間
- フレックスタイム制（コアタイムあり）
- 年収・給与
- 600万円～1999万円
- 待遇・福利厚生
- Employment Insurance / 雇用保険,Industrial Accident Compensation Insurance / 労災保険,Employees' Pension Insurance / 厚生年金保険,Employees' Health Insurance / 健康保険
- 休日休暇
-
[勤務時間]
フレックスタイム制（コアタイム あり）
リモートワーク ：要相談
[休日・休暇]
土・日・祝日
年次有給休暇
慶弔休暇、産休・育休等"
