Remote Computer Vision Engineer – Autonomous Driving

BairesDev; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Remote work

Competitive USD salary

Home office setup provided

Flexible hours

Paid parental leave

Global mentorship and growth

Job summary

BairesDev in the United States is seeking a Computer Vision Engineer to architect the technical vision for 3D obstacle perception and develop real-time perception systems for autonomous driving.

You will implement AI-driven CV algorithms, optimize sensor fusion, and advance segmentation and object detection for dynamic driving scenarios. This role is 100% remote with competitive USD compensation and flexible hours, backed by a global, top-tier engineering team.

Qualifications

• 5+ years of experience in software engineering with a focus on computer vision.
• Experience building real-time perception pipelines for autonomous vehicles in C++ or Python.
• Advanced PyTorch skills for object detection and semantic segmentation.
• Hands-on sensor fusion with LiDAR, camera, and radar data.
• Excellent English communication skills.

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 accurately perceive and understand complex driving scenes.
• Implement and optimize multimodal sensor fusion architectures to improve recognition performance and spatial mapping.
• Advance the performance of semantic segmentation and object detection models for dynamic object tracking in various driving scenarios.

Skills

Computer Vision

C++/Python

PyTorch

Sensor Fusion

English Proficiency

Job description

BairesDev in the United States is seeking a Computer Vision Engineer to architect the technical vision for 3D obstacle perception and develop real-time perception systems for autonomous driving.

You will implement AI-driven CV algorithms, optimize sensor fusion, and advance segmentation and object detection for dynamic driving scenarios. This role is 100% remote with competitive USD compensation and flexible hours, backed by a global, top-tier engineering team.