Computer Vision Engineer (AV) - Remote Work

BairesDev; United States; Remote; MXN 1,688,000 - 2,814,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves, vacations, andH

Job summary

BairesDev, a leading technology company, is seeking a Computer Vision Engineer to lead state-of-the-art perception systems for autonomous driving. The role focuses on 3D obstacle perception, real-time perception pipelines, and AI-driven computer vision algorithms to understand complex driving scenes.

Work 100% remotely with the option to receive compensation in USD or local currency. The team collaborates globally, offering mentorship and growth opportunities in a multicultural environment.

Qualifications

• 5+ years of experience in software engineering with a focus on computer vision and perception.
• 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 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

C++

Python

Computer vision

English proficiency

Software engineering

Tools

PyTorch

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Computer Vision Engineer (AV) at BairesDev

As a Computer Vision Engineer, you will lead the development of state-of-the-art perception systems that enable our vehicles to understand their environment. You will be part of a dynamic team responsible for creating systems that allow our vehicles to perceive their surroundings and make intelligent decisions.

What You'll Do:

• 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.

What we are looking for:

• 5+ years of experience in Software Engineering with a focus on computer vision and perception.
• Proven expertise in developing real-time perception pipelines for autonomous vehicles using C++ or Python.
• Advanced proficiency in deep learning frameworks, specifically PyTorch, for object detection and semantic segmentation.
• Hands-on experience with sensor fusion techniques integrating LiDAR, camera, and radar data.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.