JMPAI Vehicle Motion Control Algorithm ExpertVM

Bosch Group

Not Interested
Bookmark
Report This Job

profile Job Location:

Suzhou - China

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

Responsibilities:

solution design (e.g. Apply reinforcement learning and learning-based control methods under vehicle dynamics and real-time constraints.)

with system calibration and software teams to support integration tuning and vehicle testing.

the transition from prototype algorithms to scalable SOP-ready solutions.

岗位职责:

1.人工智能解决方案设计(例如在车辆动力学特性与实时性约束条件下应用强化学习及基于学习的控制方法)

2.与系统标定及软件团队协作为方案集成参数调校及实车测试提供技术支持

3. 助力算法原型向可扩展满足量产交付SOP标准的解决方案转化落地


Qualifications :

Qualifications:

degree or higher in Artificial Intelligence Robotics Computer Science Vehicle Engineering Control Engineering or a related field.

2.2 years of experience in AI/Robotics/ADAS related industries.

background in ML RS GenAI.

-on experience with machine learning or reinforcement learning (e.g. PPO SAC DDPG).

in Python and/or C with experience using PyTorch or Jax

任职要求

1.人工智能机器人学计算机科学车辆工程控制工程或相关专业硕士及以上学历

2.具备 2 年人工智能AI/ 机器人学 / 高级驾驶辅助系统ADAS 相关行业工作经验

3.拥有扎实的机器学习RS生成式人工智能GenAI专业背景

4.具备机器学习或强化学习领域的实操经验例如近端策略优化 PPO软演员评论家算法 SAC深度确定性策略梯度算法 DDPG

5.熟练掌握 Python 和 / 或 C 编程语言且具备 PyTorch 或 Jax 框架的使用经验


Additional Information :

With the rapid evolution of intelligent and electrified vehicles to enable more adaptive robust and data-driven vehicle dynamics control we are advancing the integration of AI-based control algorithms into production-oriented chassis position is part of a strategic initiative to develop learning-based vehicle control solutions for real-time on-vehicle deployment. The role focuses on applying machine learning and reinforcement learning techniques to the chassis control successful candidate will transform domain knowledge and physical models into scalable production-ready AI algorithms contributing directly to the next generation of intelligent chassis systems.

随着汽车智能化与电动化的快速发展为实现更具适应性稳定性且数据驱动的车辆动力学控制我们正致力于将基于人工智能AI的控制算法整合至面向量产的底盘系统中该岗位隶属于一项战略项目核心任务是研发基于学习的车辆控制解决方案以实现车载系统的实时部署岗位工作重心为将机器学习与强化学习技术应用于底盘控制功能的开发合格候选人需能够将领域专业知识与物理模型转化为可扩展可量产落地的人工智能算法直接助力下一代智能底盘系统的研发进程


Remote Work :

No


Employment Type :

Full-time

Responsibilities: solution design (e.g. Apply reinforcement learning and learning-based control methods under vehicle dynamics and real-time constraints.) with system calibration and software teams to support integration tuning and vehicle testing. the transition from prototype algorithms to scalabl...
View more view more

Key Skills

  • Hr Executive Recruitment
  • Internship
  • AIX
  • Fleet
  • Information Technology Sales

About Company

Company Logo

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

View Profile View Profile