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VLA算法工程师/专家_XC at Bosch Group

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

VLA Model Development, Multimodal Understanding, Policy Prediction, High-Performance Algorithms, Diffusion Models, VLM Models, Offline Training Frameworks, Online Inference Frameworks, Data Mining, Sample Analysis, Autonomous Driving, Machine Learning, Deep Learning Algorithms, Computer Vision, C/C++ Programming, Python Programming

Industry

Software Development

Description

Company Description Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description 1.负责VLA模型方法研发和工程落地，包括但不限于视觉多模态理解、高级指令拆解及多模态policy预测; 2.负责设计高性能上限，具备量产能力的VLA模型算法，对包括但不限于diffusion、VLM等模型算法有实操经验； 3.开发高效离线训练框架，以及可实时运行的在线推理框架，优化模型推理性能，研发模型部署工具链和优化工具； 4.建立云端数据感知/决策联合标注Pipeline、数据挖掘机制以及难样本分析等工具链，通过数据闭环持续选代模型能力。 Qualifications 1.有自动驾驶或具身智能项目经验，熟悉感知/规划方法，有具身智能研发和部署经验者优先； 2.应用数学、模式识别、机器学习、电子信息、机器人等相关专业业的硕士/博士或者同等工作经验； 3.熟悉当前主流的深度学习算法，精通一个或多个领域算法研究，包括但不限于目标检测、图神经网络、NLP、大模型等领域； 4.深入了解数据结构、算法、并行编程、代码优化和大规模数据处理等相关知识；至少精通C/C++或Python编程,有ACM经验者优先； 5.有计算机视觉及模式识别领域顶会(CVPR/ICCV/ECCV/ICML/NeurIPS)或顶刊(TPAMI/IJCV/TIP)者优先；有顶级学术比赛成果或实际工程项目经验者优先。 Legal Entity: Bosch Automotive Products (Suzhou) Co., Ltd. Shanghai Branch

Responsibilities

The role involves developing and implementing VLA model methods, including multimodal understanding and policy prediction. Additionally, it requires designing high-performance algorithms and optimizing model inference performance.