计算机视觉算法工程师_BCSC at Bosch Group

Suzhou, Jiangsu, China -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Algorithm Development, C++, Python, PyTorch, TensorFlow, OpenCV, Model Optimization, Data-Driven Strategies, Automated Testing, ADAS, Traffic Light Detection, Vehicle Light Detection, Model Deployment, Quantization

Industry

Software Development

Description

公司介绍 Bosch China Innovation and Software Development Campus 博世创新与软件开发中心博世创新软件开发（无锡）有限公司针对交通出行的电动化、自动化、互联化、个性化，提供面向未来的创新技术和前沿解决方案，加速针对中国市场的技术战略的实现和发展。博世软件中心主要发展方向包括智能网联汽车、智能座舱、自动驾驶、车路云协同、工业4.0、人工智能大数据、智能家居、嵌入式软件服务。博世中国创新与软件开发中心以软件为客户赋能，在汽车自动驾驶、氢燃料电池、重卡电驱动桥、多合一的控制器等多个领域取得创新研发成果。职位描述我们正在寻找一位专注于驾驶辅助系统的感知算法工程师。您将负责开发高精度的车灯与交通信号灯检测算法，并部署于地平线征程J6系列芯片。 We are seeking a dedicated Algorithm Engineer focused on ADAS perception. You will be responsible for developing high-precision vehicle light and traffic light detection algorithms and deploying them on the Horizon Robotics Journey J6 series chips. 主要职责 / Key Responsibilities: 核心算法研发 / Core Algorithm Development: 研发基于深度学习的车灯检测（前照灯、尾灯、刹车灯、转向灯）与交通信号灯检测识别算法。 Develop deep learning-based algorithms for vehicle light (headlights, tail lights, brake lights, turn signals) and traffic light detection and recognition. 专注解决小目标、远距离及极端光照（如夜间、隧道口）等场景下的技术挑战。 Focus on solving technical challenges in scenarios involving small objects, long distances, and extreme lighting conditions (e.g., night, tunnel entrances). 平台部署与优化 / Platform Deployment & Optimization: 主导模型在地平线J6系列芯片上的部署、调试与性能优化。 Lead the deployment, debugging, and performance optimization of models on Horizon J6 series chips. 熟练使用地平线天工开物(OpenExplorer)工具链进行模型转换与量化。 Proficiency in using the Horizon OpenExplorer toolchain for model conversion and quantization. 数据闭环 / Data Closed-Loop: 构建相关数据集，并通过数据驱动策略持续提升模型性能。 Build relevant datasets and continuously improve model performance through data-driven strategies. 工程实现 / Engineering Implementation: 编写高质量、可维护的C++/Python代码，并参与构建自动化测试流程。 Write high-quality, maintainable C++/Python code and participate in building automated testing pipelines. 职位要求必备条件 / Required: 学历与经验 / Education & Experience: 计算机、电子工程等相关专业本科及以上学历，具备2年以上计算机视觉算法开发经验。有ADAS/自动驾驶经验者优先。 Bachelor's degree or above in Computer Science, Electronic Engineering, or related fields. 2+ years of experience in computer vision algorithm development. Experience in ADAS/autonomous driving is a plus. 编程能力 / Programming Skills: 精通Python，熟练掌握C++。 Proficient in Python, skilled in C++. 技术栈 / Technical Stack: 精通PyTorch或TensorFlow，熟练使用OpenCV。 Proficient in PyTorch or TensorFlow, familiar with OpenCV. 优先考虑 / Preferred Qualifications: 平台经验 / Platform Experience: 拥有地平线征程系列芯片（J5/J6）模型部署和优化经验，熟悉天工开物工具链。 Hands-on experience with model deployment and optimization on Horizon Journey series chips (J5/J6), familiar with the OpenExplorer toolchain. 领域知识 / Domain Knowledge: 具备车灯/交通灯检测相关项目经验。 Project experience in vehicle lights/traffic light detection. 优化能力 / Optimization Skills: 具备模型量化（INT8）、剪枝等优化实战经验。 Practical experience in model optimization techniques such as quantization (INT8) and pruning.

Responsibilities

The role involves developing high-precision algorithms for vehicle light and traffic light detection, focusing on technical challenges in various scenarios. Additionally, the engineer will lead the deployment and optimization of these models on specific hardware platforms.