Senior Robotics RL Engineer

Technology Innovation Institute
United Arab Emirates
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Problem-solving","Research-driven mindset"]

Develop and deploy reinforcement learning solutions for robotics, UAV swarms, and autonomous agents, including long-horizon planning and decision-making. Build and evaluate multi-agent RL frameworks for coordination and deconfliction, and design novel RL architectures. Own scalable training pipelines, simulation-to-real transfer, and integration with robotics middleware and real systems. Stay current on state-of-the-art RL methods, including hybrid learning approaches and neurosymbolic ideas.

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FursaFursa
Technology Innovation Institute
Technology Innovation Institute
11 months ago

Senior Robotics RL Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Develop and deploy reinforcement learning solutions for robotics, UAV swarms, and autonomous agents, including long-horizon planning and decision-making. Build and evaluate multi-agent RL frameworks for coordination and deconfliction, and design novel RL architectures. Own scalable training pipelines, simulation-to-real transfer, and integration with robotics middleware and real systems. Stay current on state-of-the-art RL methods, including hybrid learning approaches and neurosymbolic ideas.
Location: United Arab Emirates
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and optimize RL algorithms for robotic platforms, UAV swarms, and autonomous agents, including long-horizon planning and decision-making.
  • •Build and evaluate multi-agent reinforcement learning frameworks for coordination, deconfliction, and cooperative decision-making in multi-drone systems.
  • •Implement efficient training pipelines for large-scale RL simulations and optimize simulation-to-real transfer for robotics and aerial vehicles.
  • •Develop novel RL architectures and integrate advanced methodologies for distributed control problems.
  • •Stay up to date with state-of-the-art RL research, including investigating hybrid learning paradigms such as neurosymbolic methods and model-based/model-free hybrids.

Key Requirements

  • •Master’s or PhD in Computer Science, Robotics, AI/ML, or a related field.
  • •Proven experience 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 for robotics.
  • •Excellent problem-solving ability and a research-driven mindset.
Experience:RoboticsUAVSwarm roboticsReinforcement learningMulti-agent systems
Education:Master's
Skills:Problem-solvingResearch-driven mindset
Tech Stack:PythonC++Ray RLlibStable Baselines3PyBulletIsaac GymGazeboMuJoCoAirSimPyTorchTensorFlowJAXDockerCUDAROS2PX4MAVSDK

Company Brief

Technology Innovation Institute
Government-backed applied research institute in Abu Dhabi focused on advanced technology development across AI, robotics, quantum, cryptography, autonomous systems, and other deep-tech fields. It collaborates with industry and academia to turn research into practical solutions.
Industry: Scientific Research
Company Size: Enterprise (1,001+ employees)
Growth: Government & Public Sector
Funding: Government Funded
Headquarters: Abu Dhabi, United Arab Emirates
Founded: 2020
WebsiteLinkedIn