Remote Computer Vision Engineer – Autonomous Driving

BairesDev

Antioquia

A distancia

COP 312.412.000 - 499.859.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

100% remote work
Competitive USD compensation
Home-office setup provided
Flexible hours
Parental leave
Global mentorship and growth

Descripción de la vacante

BairesDev is seeking a Computer Vision Engineer to architect and own the technical vision for 3D obstacle perception in autonomous driving. You will design, develop, test, and optimize real-time perception solutions using C++/Python and PyTorch, integrating LiDAR, camera, and radar data to improve scene understanding.

The role requires deep learning and sensor fusion experience, with English proficiency. This is a 100% remote position offering USD-based compensation and flexible hours in a

Formación

  • 5+ years of software engineering focusing on computer vision and perception.
  • Real-time perception pipelines for autonomous vehicles using C++ or Python.
  • Deep learning experience with PyTorch for detection and segmentation.
  • Hands-on sensor fusion using LiDAR, camera, and radar data.
  • advanced English proficiency.

Responsabilidades

  • Architect and own the technical vision for 3D obstacle perception for autonomous driving.
  • Design, develop, and test real-time perception solutions for AV systems.
  • Develop AI-driven CV algorithms to perceive and understand driving scenes.
  • Implement and optimize multimodal sensor fusion for mapping and recognition.
  • Advance semantic segmentation and object detection for dynamic tracking.

Conocimientos

Computer Vision
C++
Python
PyTorch
Sensor Fusion
Real-time Perception

Herramientas

OpenCV
CUDA
LiDAR Processing

Descripción del empleo

BairesDev is seeking a Computer Vision Engineer to architect and own the technical vision for 3D obstacle perception in autonomous driving. You will design, develop, test, and optimize real-time perception solutions using C++/Python and PyTorch, integrating LiDAR, camera, and radar data to improve scene understanding.

The role requires deep learning and sensor fusion experience, with English proficiency. This is a 100% remote position offering USD-based compensation and flexible hours in a

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