3D Computer Vision Engineer – Surface Orientation Estimation

Job Title:

Location:

Apply at:

Experience Required:

• 3+ years in

  Computer Vision

  or

  3D Scene Understanding

  .

About the Role:

3D Computer Vision Engineer / Researcher

Key Responsibilities:

• Develop or implement methods to estimate accurate 3D orientation and position of surfaces (walls, floors) from RGB images.
• Apply techniques such as

  surface normal estimation

  ,

  depth map analysis

  , and

  geometric plane fitting

  .
• Ensure outputs are optimized for real-time 3D rendering systems.
• Optionally evaluate and adapt open-source methods (e.g., plane detection, room layout estimation).

Required Skills:

• Strong grasp of

  3D geometry

  ,

  pose estimation

  , and

  camera models

  .
• Experience with

  depth prediction

  ,

  normal maps

  , or

  plane detection

  from RGB input.
• Proficient in

  Python

  ,

  OpenCV

  , and deep learning frameworks like

  PyTorch

  or

  TensorFlow

  .
• Familiarity with methods such as

  PnP

  ,

  surface normal alignment

  , and

  plane fitting

  .
• Clean, modular coding practices suitable for integration with downstream pipelines.

Preferred Background:

• Prior work in

  indoor scene reconstruction

  ,

  surface layout prediction

  , or

  pose estimation

  of objects/surfaces.
• Portfolio or GitHub/Colab showcasing relevant projects.

How to Apply:

career@tilesview.ai

+91 95866 34200