Reinforcement Learning Engineer - Robotics & UAV Systems

Technology Innovation Institute; Dubai; On-site; AED 350,000 - 700,000; Full time

Job summary

Technology Innovation Institute is seeking a Reinforcement Learning Engineer for robotics and UAV systems in Abu Dhabi/UAE. You will design RL architectures, develop MARL solutions, and build scalable training pipelines for simulation-to-real deployment.

The role focuses on cutting-edge RL methodologies, federated/decentralized control, and integration with robotics middleware like ROS2, CUDA-enabled GPU clusters, and Dockerized environments.

Qualifications

• Master’s or PhD in Computer Science, Robotics, AI/ML, or related field.
• Proven track record of implementing RL algorithms for robotics or UAV applications.
• Strong expertise in multi-agent systems, swarm robotics, and real-world control.
• Experience bridging simulation and real-world deployment.

Responsibilities

• Design, implement, and optimize RL algorithms for robotic platforms, UAV swarms, and autonomous agents.
• Build and evaluate MARL frameworks for coordination and cooperative decision-making in multi-drone systems.
• Implement efficient training pipelines for large-scale RL simulations and sim-to-real transfer.

Skills

Reinforcement Learning

Multi-Agent RL

Python

C++

ROS2

Distributed training

CUDA

Domain randomization

Model-based/model-free hybrids

Swarm robotics

Education

Master’s or PhD in Computer Science / Robotics / AI

Tools

Ray RLlib

Stable Baselines3

PyTorch

TensorFlow

PyBullet

Gazebo

MuJoCo

AirSim

Job description

Technology Innovation Institute is seeking a Reinforcement Learning Engineer for robotics and UAV systems in Abu Dhabi/UAE. You will design RL architectures, develop MARL solutions, and build scalable training pipelines for simulation-to-real deployment.

The role focuses on cutting-edge RL methodologies, federated/decentralized control, and integration with robotics middleware like ROS2, CUDA-enabled GPU clusters, and Dockerized environments.