VLA算法工程师/专家_XC
Bosch Group
VLA算法工程师/专家_XC
Job Description
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。
Additional Info
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.
Locations
- Shanghai, Shanghai, China
Salary
60,000 - 100,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- C/C++ or Pythonintermediate
- Deep learning algorithmsintermediate
- Computer visionintermediate
- Pattern recognitionintermediate
- VLA modelsintermediate
- Diffusion modelsintermediate
- VLMintermediate
- Data structures and algorithmsintermediate
Required Qualifications
- Master's/Doctorate in applied mathematics, pattern recognition, machine learning, electronics, robotics or equivalent (experience)
- Experience in autonomous driving or embodied intelligence projects (experience)
- Top conference publications (CVPR/ICCV/ECCV/ICML/NeurIPS) or top journals preferred (experience)
Responsibilities
- Develop VLA model methods and engineering implementation including visual multimodal understanding
- Design high-performance VLA model algorithms with production capability
- Develop efficient offline training and online inference frameworks
- Optimize model inference performance and develop deployment toolchain
- Establish data annotation pipeline, data mining, and hard sample analysis
Answer 10 quick questions to check your fit for VLA算法工程师/专家_XC @ Bosch Group.
Related Books and Jobs
VLA算法工程师/专家_XC
Bosch Group
VLA算法工程师/专家_XC
Job Description
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。
Additional Info
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.
Locations
- Shanghai, Shanghai, China
Salary
60,000 - 100,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- C/C++ or Pythonintermediate
- Deep learning algorithmsintermediate
- Computer visionintermediate
- Pattern recognitionintermediate
- VLA modelsintermediate
- Diffusion modelsintermediate
- VLMintermediate
- Data structures and algorithmsintermediate
Required Qualifications
- Master's/Doctorate in applied mathematics, pattern recognition, machine learning, electronics, robotics or equivalent (experience)
- Experience in autonomous driving or embodied intelligence projects (experience)
- Top conference publications (CVPR/ICCV/ECCV/ICML/NeurIPS) or top journals preferred (experience)
Responsibilities
- Develop VLA model methods and engineering implementation including visual multimodal understanding
- Design high-performance VLA model algorithms with production capability
- Develop efficient offline training and online inference frameworks
- Optimize model inference performance and develop deployment toolchain
- Establish data annotation pipeline, data mining, and hard sample analysis
Answer 10 quick questions to check your fit for VLA算法工程师/专家_XC @ Bosch Group.
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