3D Object Detection Jobs
Computer vision roles requiring 3D Object Detection expertise, across all industries and experience levels.
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What is 3D Object Detection?
3D object detection localises objects in space with oriented bounding boxes carrying position, dimensions and heading, rather than flat image rectangles. It is the perception output that planning and control systems actually consume in autonomous vehicles and robots.
Where 3D Object Detection is used
Vehicle perception stacks are the dominant employer, followed by warehouse robotics and traffic infrastructure monitoring, where knowing an object’s footprint and heading is essential for predicting where it will go.
Roles that ask for 3D Object Detection
- Perception Engineer
- 3D Vision Engineer
- LiDAR Perception Engineer
- Autonomous Driving Engineer
- Research Scientist, Perception
Related skills & tools
3D Object Detection jobs — common questions
Camera-only or LiDAR-based — which do employers want?
Both, and the split is partly ideological. Tesla-style camera-only stacks rely on BEV transformer architectures; most other autonomy companies fuse LiDAR with cameras. Familiarity with BEVFormer, BEVDet and PointPillars-style approaches covers most of the ground.
What is bird’s-eye-view representation?
Projecting features from multiple camera views into a shared top-down grid, where fusion across sensors and time is natural and where planning operates anyway. BEV has become the standard intermediate representation in modern autonomy stacks.
How does evaluation differ from 2D detection?
Metrics use 3D IoU or distance-based matching, and nuScenes-style protocols score translation, scale, orientation, velocity and attribute errors separately — because a detection with the wrong heading is a very different failure from one in the wrong place.