Remote Computer Vision Engineer for 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

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.