AI Research Engineer - Robotics & Automation

About the Role  Our client is a leading innovator in robotics and automation, and we are seeking an experienced AI Research Engineer to join our team in  Kimberley, Northern Cape, ZA . This hybrid role offers the best of both worlds: the flexibility of remote work combined with collaborative opportunities at our advanced research facility. You will be instrumental in developing and implementing intelligent algorithms for robotic systems, focusing on areas such as perception, navigation, and control.

This is an exciting opportunity to contribute to cutting‑edge AI research that drives real‑world applications in automation and beyond.

Key Responsibilities   Design, implement, and test AI algorithms for robotic perception, decision‑making, and control.
Develop and integrate machine learning models (e.g., deep learning, reinforcement learning) into robotic systems.
Work with sensor data (e.g., cameras, LiDAR, IMUs) for environment understanding and state estimation.
Develop simulation environments for testing and validating AI algorithms.
Collaborate with hardware and software engineers to ensure seamless integration of AI components.
Conduct research into novel AI techniques applicable to robotics and automation challenges.
Document research findings, algorithms, and system designs.
Stay current with the latest advancements in AI, robotics, and related fields.
Requirements   Master's or Ph.D. in Computer Science, Robotics, AI, or a related field.
Proven experience in AI research and development, specifically applied to robotics.
Strong programming skills in Python and C++.

Experience with robotics frameworks like ROS (Robot Operating System).
Proficiency with deep learning frameworks (Tensor Flow, PyTorch) and computer vision libraries (OpenCV).
Familiarity with control theory and state estimation techniques.

Experience with simulation tools (e.g., Gazebo, Isaac Sim).
Excellent problem‑solving skills and ability to work in a collaborative, cross‑functional team environment.
Benefits   Competitive salary and performance‑based incentives.
Hybrid work model providing flexibility.
Comprehensive health and wellness benefits.
Opportunities for professional growth, conference attendance, and publication.
Access to state‑of‑the‑art lab facilities and robotics equipment.
Engaging projects at the forefront of AI and robotics innovation.
Collaborative and supportive work culture.
Generous paid time off.