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自动标注算法工程师(Tracking方向)_XC

Bosch Group

自动标注算法工程师(Tracking方向)_XC

full-timePosted: Jan 17, 2026

Job Description

Description

构建面向自动驾驶的 智能自动标注系统,通过融合检测、分割与多目标跟踪(MOT)算法,实现视频与点云数据的时序级自动标注与一致性维护。聚焦于 Tracking算法的设计与工程落地,目标是提升自动标注的时序连贯性、精度与自动化水平,为感知模型训练提供高质量结构化数据。

主要职责

  1. 负责视频及点云数据的 多目标跟踪算法(MOT / MOTS / 3D-MOT 研发与优化;
  2. 设计 跨帧 ID 关联、遮挡恢复、轨迹插补、一致性维护 等自动标注核心算法;
  3. 研究 ReID、运动建模(Motion Model)、轨迹融合(Track Fusion 等方法,提升标注稳定性与连续性;
  4. 将 Tracking 模块与 Detection / Segmentation 模型输出 融合,形成可闭环自动标注方案;
  5. 构建 Auto-QA(自动质检)与异常检测 模块,实现标注一致性与质量可控;
  6. 优化推理性能与数据吞吐,支持高并发生产部署;
  7. 与感知、仿真、数据挖掘团队协作,推动自动标注系统的算法标准化与生产落地。

Qualifications

  • 硕士及以上学历,计算机科学、人工智能、自动化、电子信息等相关专业;
  • 扎实的 计算机视觉 / 深度学习 / 时序建模 理论基础;
  • 熟悉主流 Tracking 算法(DeepSORT、ByteTrack、BoT-SORT、OC-SORT、CenterTrack、FairMOT、TrackEval 等);
  • 理解 Tracking 与 Detection / Segmentation 联动机制,具备完整 pipeline 实践经验;
  • 良好的工程实现能力与代码规范。

加分项(Highly Preferred):

  • 熟悉 3D Tracking / Multi-Sensor Fusion(Camera + LiDAR + Radar);
  • 熟悉主流检测与分割模型(YOLO, DETR, Mask2Former, Segment Anything 等);
  • 具备 自动标注产线 或 数据生产系统 实际参与经验;
  • 掌握模型推理加速、轻量化、多GPU并行部署;

有学术发表(CVPR / ICCV / ECCV / NeurIPS)或开源项目贡献经验。

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

Estimated Salary Rangemedium confidence

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

  • 多目标跟踪算法 (multi-object tracking)intermediate
  • ReID, motion modeling, track fusionintermediate
  • 计算机视觉/深度学习 (computer vision/deep learning)intermediate
  • 时序建模 (temporal modeling)intermediate
  • 工程实现能力 (engineering implementation)intermediate

Required Qualifications

  • 硕士及以上学历 (Master’s or above) (experience)
  • 计算机科学、人工智能等相关专业 (CS, AI related) (experience)
  • 3D Tracking/Multi-Sensor Fusion experience (preferred) (experience)

Responsibilities

  • 多目标跟踪算法研发与优化 (MOT algorithm R&D)
  • 跨帧ID关联和一致性维护 (cross-frame ID association)
  • Tracking与Detection/Segmentation融合 (fusion with detection/segmentation)
  • 构建Auto-QA和异常检测模块 (build auto-QA modules)
  • 优化推理性能 (optimize inference performance)
  • 推动系统生产落地 (drive production deployment)

Target Your Resume for "自动标注算法工程师(Tracking方向)_XC" , Bosch Group

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Bosch Group logo

自动标注算法工程师(Tracking方向)_XC

Bosch Group

自动标注算法工程师(Tracking方向)_XC

full-timePosted: Jan 17, 2026

Job Description

Description

构建面向自动驾驶的 智能自动标注系统,通过融合检测、分割与多目标跟踪(MOT)算法,实现视频与点云数据的时序级自动标注与一致性维护。聚焦于 Tracking算法的设计与工程落地,目标是提升自动标注的时序连贯性、精度与自动化水平,为感知模型训练提供高质量结构化数据。

主要职责

  1. 负责视频及点云数据的 多目标跟踪算法(MOT / MOTS / 3D-MOT 研发与优化;
  2. 设计 跨帧 ID 关联、遮挡恢复、轨迹插补、一致性维护 等自动标注核心算法;
  3. 研究 ReID、运动建模(Motion Model)、轨迹融合(Track Fusion 等方法,提升标注稳定性与连续性;
  4. 将 Tracking 模块与 Detection / Segmentation 模型输出 融合,形成可闭环自动标注方案;
  5. 构建 Auto-QA(自动质检)与异常检测 模块,实现标注一致性与质量可控;
  6. 优化推理性能与数据吞吐,支持高并发生产部署;
  7. 与感知、仿真、数据挖掘团队协作,推动自动标注系统的算法标准化与生产落地。

Qualifications

  • 硕士及以上学历,计算机科学、人工智能、自动化、电子信息等相关专业;
  • 扎实的 计算机视觉 / 深度学习 / 时序建模 理论基础;
  • 熟悉主流 Tracking 算法(DeepSORT、ByteTrack、BoT-SORT、OC-SORT、CenterTrack、FairMOT、TrackEval 等);
  • 理解 Tracking 与 Detection / Segmentation 联动机制,具备完整 pipeline 实践经验;
  • 良好的工程实现能力与代码规范。

加分项(Highly Preferred):

  • 熟悉 3D Tracking / Multi-Sensor Fusion(Camera + LiDAR + Radar);
  • 熟悉主流检测与分割模型(YOLO, DETR, Mask2Former, Segment Anything 等);
  • 具备 自动标注产线 或 数据生产系统 实际参与经验;
  • 掌握模型推理加速、轻量化、多GPU并行部署;

有学术发表(CVPR / ICCV / ECCV / NeurIPS)或开源项目贡献经验。

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

Estimated Salary Rangemedium confidence

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

  • 多目标跟踪算法 (multi-object tracking)intermediate
  • ReID, motion modeling, track fusionintermediate
  • 计算机视觉/深度学习 (computer vision/deep learning)intermediate
  • 时序建模 (temporal modeling)intermediate
  • 工程实现能力 (engineering implementation)intermediate

Required Qualifications

  • 硕士及以上学历 (Master’s or above) (experience)
  • 计算机科学、人工智能等相关专业 (CS, AI related) (experience)
  • 3D Tracking/Multi-Sensor Fusion experience (preferred) (experience)

Responsibilities

  • 多目标跟踪算法研发与优化 (MOT algorithm R&D)
  • 跨帧ID关联和一致性维护 (cross-frame ID association)
  • Tracking与Detection/Segmentation融合 (fusion with detection/segmentation)
  • 构建Auto-QA和异常检测模块 (build auto-QA modules)
  • 优化推理性能 (optimize inference performance)
  • 推动系统生产落地 (drive production deployment)

Target Your Resume for "自动标注算法工程师(Tracking方向)_XC" , Bosch Group

Get personalized recommendations to optimize your resume specifically for 自动标注算法工程师(Tracking方向)_XC. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "自动标注算法工程师(Tracking方向)_XC" , Bosch Group

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for 自动标注算法工程师(Tracking方向)_XC @ Bosch Group.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.