Back to Jobs

Computer Vision Engineer - Autonomous Systems

Remote, USA Full-time Posted 2026-06-14

Our client, a dynamic innovator in autonomous technology, is seeking a talented Computer Vision Engineer to join their expanding team in

Miami, Florida, US

. This role is pivotal in developing and deploying advanced computer vision algorithms that power next-generation autonomous systems. You will be working on challenging problems involving real-time perception, object detection, tracking, and scene understanding. The ideal candidate will have a strong foundation in computer vision principles, deep learning, and software engineering, with a passion for building robust and scalable solutions. You will collaborate with a talented group of engineers and researchers to push the boundaries of autonomous navigation and interaction. Responsibilities: Design, implement, and optimize computer vision algorithms for real-time applications in autonomous systems. Develop and train deep learning models for tasks such as object detection, segmentation, tracking, and depth estimation. Work with sensor data (cameras, LiDAR, RADAR) to build robust perception pipelines. Implement and test algorithms on embedded hardware and in simulation environments. Collaborate with robotics and software engineering teams to integrate vision systems into larger platforms. Analyze and debug complex vision system issues. Stay updated on the latest research and advancements in computer vision and deep learning. Contribute to the continuous improvement of our development processes and tools. Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 3+ years of professional experience in computer vision or a related area. Proficiency in C++ and Python. Strong experience with computer vision libraries such as OpenCV. Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Solid understanding of image processing, 3D vision, and geometric methods. Experience with deep learning architectures for vision tasks (CNNs, Transformers). Familiarity with sensor fusion techniques is a plus. Experience with software development best practices, including version control (Git) and testing. Strong problem-solving and debugging skills. This position offers a competitive salary, excellent benefits, and the opportunity to work on cutting-edge technology in a growing industry. Our client values innovation, collaboration, and continuous learning. Apply tot his job Apply To this Job

Similar Jobs

Computer Vision Research Scientist - Remote/Hybrid - 127814

Remote, USA Full-time

Senior Front-End Engineer / Remote / React and AI

Remote, USA Full-time

Project Lion - Senior Prompt Engineer - United States (Remote, Part-Time)

Remote, USA Full-time

Senior Dutch Prompt Engineer - Remote, Part-Time; NL

Remote, USA Full-time

[Remote] Computer Vision Software Engineer

Remote, USA Full-time

Senior Engineer, Computer Vision (Remote - US)

Remote, USA Full-time

Staff Computer Vision/Machine Learning Engineer | Path Robotics | Remote (United States)

Remote, USA Full-time

Autonomy Engineer, Computer Vision

Remote, USA Full-time

Machine Learning Engineer II, Computer Vision Applied Science

Remote, USA Full-time

Lead Software Engineer, 3D Computer Vision (USA)

Remote, USA Full-time

Remote Hotel Booking Agent

Remote, USA Full-time

Technical Engineer 2/Architect 2

Remote, USA Full-time

Compliance Officer - AI Trainer

Remote, USA Full-time

Elementary Middle School Remote Speech Therapy in CA

Remote, USA Full-time

Global Payroll Implementation Country Lead - France

Remote, USA Full-time

Experienced Remote Data Entry Agent – Flexible Work Arrangements at arenaflex

Remote, USA Full-time

Talent Acquisition Specialist (Temporary/Part-time Position)

Remote, USA Full-time

Outbound Call Agent – French/Dutch Native Speaker (Remote in Spain)

Remote, USA Full-time

Remote Data Entry Specialist – Work From Home Careers | No Experience Required | Full Training Provided | arenaflex

Remote, USA Full-time

Sponsor Dedicated Local Trial Manager based in Germany

Remote, USA Full-time