Autonomous Vehicle Expert Lead

7 days ago

Noida, Uttar Pradesh, India beBeeAutonomy Full time ₹ 1,23,51,000 - ₹ 2,21,33,000
Autonomous Vehicle Labelling Manager

We are seeking an experienced manager to lead the annotation and labelling of autonomous vehicles. The ideal candidate will have a deep understanding of data quality frameworks, sensor fusion, and perception stack workflows.

This role demands strong leadership skills to manage high-throughput annotation projects across 2D, 3D, and semantic data pipelines. Key responsibilities include managing annotation pipelines, translating real-world edge cases into structured labelling guidelines, and driving the end-to-end execution of annotation projects.

  • Manage annotation pipelines across image, video, LiDAR point cloud, and multi-sensor fusion data to support perception models.
  • Apply strong understanding of autonomous driving scenarios such as lane detection, vehicle tracking, pedestrian movement, free space estimation, and object classification.
  • Translate real-world edge cases into structured labelling guidelines tailored for different autonomy levels (L2–L4).
  • Drive the end-to-end execution of annotation projects, including planning, resource allocation, execution, quality checks, and final delivery.
  • Ensure timely delivery of high-quality, accurately labelled datasets that meet client SLAs.
  • Define and track project KPIs such as annotation throughput, QA pass rates, rework percentages, and turnaround times.

Key Skills & Competencies:

Technical & Domain Skills:

  • Deep knowledge of annotation types: bounding boxes, polygons, cuboids, semantic segmentation, LiDAR point cloud labelling, object tracking.
  • Familiarity with sensor modalities (camera, LiDAR, radar), time-synced data alignment, and calibration workflows.
  • Understanding of the perception stack in AD/ADAS systems: from data ingestion to object detection and decision-making.
  • Proven ability to lead cross-functional teams across geographies and deliver large-scale annotation projects.
  • Strong stakeholder management, reporting, and documentation skills.
  • Proficient in industry-leading annotation tools and open-source platforms.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Minimum 8+ years of experience in annotation/labelling, with at least 4-5 years in autonomous or ADAS domain.
  • Experience managing teams and leading high-complexity annotation projects.

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