All roles

Open role

Computer Vision Engineer - Autonomous Systems

Remote · Singapore Full-time

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.

More open positions

Remote job: NLP Engineer (Document Intelligence & Automation)

Work from home Full-time role

Remote NLP Engineer Jobs in New York City

Work from home Full-time role

Fresher – NLP Engineer (Remote)

Work from home Full-time role

Remote NLP Engineer Jobs in New York City

Work from home Full-time role

NLP Engineer _ Machine Learning Engineer|5+ years| Remote

Work from home Full-time role

Senior Product Manager Cloud (m/f/d)

Work from home Full-time role

Certification Specialist- Remote | Maximus | Handshake

Work from home Full-time role

Entry-Level Remote Position | Flexible Schedule | Hiring Now

Work from home Full-time role

Angular/NodeJS Developer

Work from home Full-time role

IRAP Law Student Fellowship 2026-2027

Work from home Full-time role

Healthcare Recruiter - Hybrid

Work from home Full-time role

Account Executive

Work from home Full-time role

RN - Integrated Care Manager, AMB CM Preventive Team

Work from home Full-time role

Document Review Assistant – Work From Home, No Experience Needed

Work from home Full-time role

Manager, Workplace Accommodation

Work from home Full-time role

Recruiter | Remote Opportunity With Uncapped Earnings

Work from home Full-time role

[Remote] Training Program Manager

Work from home Full-time role

Licensed Certified Social Worker - Remote

Work from home Full-time role

Sales Process Coordinator

Work from home Full-time role

PeopleSoft Integration Broker Developer

Work from home Full-time role

[Remote] Appointment Setter - Remote + Full time

Work from home Full-time role