Remote Computer Vision Engineer - Autonomous Vehicles

BairesDev; Mexico; Remote; MXN 1,662,000 - 2,585,000; Full time

Benefits offered by this job

100% remote work

Home office setup

Flexible hours

Parental leaves

Job summary

BairesDev in Mexico offers a remote Computer Vision Engineer role to lead state-of-the-art perception systems for autonomous driving. You will design, develop, and test real-time perception pipelines using C++ or Python, and advance AI-driven vision algorithms for complex driving scenes.

Work 100% remotely with flexible hours, excellent compensation in USD, and a home-office setup. Join a global Top 1% tech talent network and grow through mentorship and diverse opportunities.

Qualifications

• 5+ years of software engineering with a focus on computer vision and perception
• Proven expertise in real-time perception pipelines for autonomous vehicles (C++ or Python)
• Advanced proficiency in PyTorch for object detection and semantic segmentation
• Hands-on experience with sensor fusion techniques (LiDAR, camera, radar)
• Advanced proficiency in English

Responsibilities

• Architect and own the technical vision for 3D obstacle perception to support end-to-end autonomous driving functionalities.
• Design, develop, and test real-time perception solutions for autonomous vehicle systems.
• Develop AI-driven computer vision algorithms to perceive and understand driving scenes.
• Implement and optimize multimodal sensor fusion architectures to improve recognition and mapping.

Skills

Computer vision

Real-time perception pipelines

C++

Python

Sensor fusion

LiDAR data

PyTorch

English communication

Tools

PyTorch

Job description

BairesDev in Mexico offers a remote Computer Vision Engineer role to lead state-of-the-art perception systems for autonomous driving. You will design, develop, and test real-time perception pipelines using C++ or Python, and advance AI-driven vision algorithms for complex driving scenes.

Work 100% remotely with flexible hours, excellent compensation in USD, and a home-office setup. Join a global Top 1% tech talent network and grow through mentorship and diverse opportunities.