Computer Vision Engineer - Autonomous Systems

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote work

Professional development

Flexible schedule

Competitive salary

Job summary

Placements24 is seeking a Computer Vision Engineer for a fully remote team working on autonomous systems. You will design, implement, and optimize vision algorithms for real-time perception, including object detection, tracking, and segmentation.

The role requires a Master or PhD and 3+ years of hands-on CV experience, with strong C++/Python skills, OpenCV, and DL frameworks. Remote collaboration and impactful mobility tech await.

Qualifications

• Master's or PhD in CS/EE/Robotics with CV specialization.
• 3+ years hands-on CV algorithm experience.
• Proficient in C++ and Python.
• Experience with OpenCV and DL frameworks.

Responsibilities

• Develop real-time computer vision algorithms for autonomous platforms.
• Design and optimize perception systems for autonomous vehicles and robotics.
• Handle object detection, tracking, and segmentation tasks.
• Implement and fine-tune deep learning models for vision using TensorFlow or PyTorch.
• Process and analyze large-scale image and video datasets.
• Collaborate with software engineers to integrate vision systems.
• Research novel perception approaches and improve existing pipelines.
• Optimize algorithms for embedded/edge devices.
• Validate algorithms in simulation and real-world scenarios.

Skills

C++

Python

OpenCV

Deep learning

3D geometry

Education

Master's or Ph.D. in CS/EE/Robotics

Tools

TensorFlow

PyTorch

OpenCV

ROS

Job description

About the Role

Our client is a pioneer in developing advanced autonomous systems and is seeking a talented Computer Vision Engineer to join their groundbreaking, fully remote team. This role is instrumental in designing, developing, and deploying state-of-the-art computer vision algorithms that enable machines to perceive and interpret the world. You will work on challenging problems related to object detection, tracking, segmentation, and 3D scene understanding, contributing directly to the intelligence of autonomous vehicles and robotics. The ideal candidate possesses a deep passion for computer vision, strong theoretical knowledge, and practical experience implementing algorithms in real-world applications. This is a unique opportunity to make significant contributions to a rapidly evolving field within a dynamic, collaborative, and remote-first environment. You will be part of a team that values innovation, rigorous scientific inquiry, and the relentless pursuit of excellence in artificial intelligence and machine learning. The focus is on pushing the boundaries of what's possible in machine perception.

Key Responsibilities

• Develop and implement advanced computer vision algorithms for real-time applications.
• Design and optimize perception systems for autonomous platforms.
• Work on core CV tasks including image classification, object detection, tracking, and segmentation.
• Implement and fine-tune deep learning models for vision tasks using frameworks like TensorFlow or PyTorch.
• Process and analyze large-scale image and video datasets.
• Collaborate with software engineers and robotics specialists to integrate vision systems.
• Conduct research to identify and implement novel approaches to perception challenges.
• Optimize algorithms for performance on embedded systems and edge devices.
• Validate and test vision algorithms in simulation and real-world scenarios.
• Contribute to the development of robust and reliable perception pipelines.

Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a specialization in Computer Vision.
• 3+ years of hands-on experience in developing and deploying computer vision algorithms.
• Strong proficiency in C++ and Python programming.
• Experience with computer vision libraries such as OpenCV.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) for vision tasks.
• Solid understanding of image processing techniques, camera models, and 3D geometry.
• Experience with sensor fusion (e.g., camera, LiDAR, radar) is a plus.
• Familiarity with autonomous systems or robotics is highly desirable.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills, with the ability to work effectively in a remote team.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Professional development opportunities, including conference attendance.
• Access to cutting-edge research and development tools.
• Fully remote work arrangement with flexibility.
• Opportunity to work on impactful technology shaping the future of mobility.
• Collaborative and intellectually stimulating work environment.