Senior Robotics and Autonomy Engineer (Drones, Autonomous Vehicles)

Company: SPG / DCIT – Dynamic Cloud for Information Technology Location: Remote | Saudi Arabia-based Projects Employment Type: Full-time About Us SPG (Servis Plus Global) is a London-based innovation and strategic studio focused on technology development, digital transformation, and building innovative products and solutions across industries. DCIT (Dynamic Cloud for Information Technology) is our Saudi-based technology company, headquartered in Al Khobar, with an office in Riyadh. We specialize in artificial intelligence, computer vision, robotics, autonomous systems, and industrial software solutions. Our projects involve real-world deployments across industrial, construction, energy, and infrastructure environments. We work with an international team of engineers and developers, combining remote engineering with on-site operations in Saudi Arabia. About the Role Own the autonomy stack for field robotics: autonomous inspection drones, a hydrogen-drone program, and autonomous vehicles for mining and industrial sites. Take autonomy from prototype to real deployments in harsh, GPS-degraded outdoor environments. Responsibilities - Design and ship autonomous navigation for UAVs and ground vehicles: localization, mapping, path and motion planning, obstacle avoidance - Build robust perception and state estimation in GPS-denied and outdoor conditions (visual-inertial odometry, SLAM, multi-sensor fusion) - Integrate flight controllers and vehicle platforms (PX4 or ArduPilot for UAVs; drive-by-wire or OEM SDKs for vehicles) - Deploy, commission, calibrate, and support autonomy at live customer sites, with logging and remote diagnostics - Own safety behaviors, failsafes, and the autonomy simulation and test pipeline Must have - 5+ years in robotics/autonomy with real field deployments you can describe in detail (platforms flown or driven, environments, what broke and how you fixed it) - Strong ROS2 and C++/Python; Nav2, tf2, behavior trees SLAM and sensor fusion in practice (Cartographer, RTAB-Map, EKF/UKF, visual-inertial odometry) - UAV autonomy (PX4/ArduPilot, MAVLink) or autonomous-vehicle autonomy (planning and control for ground vehicles) Edge deployment on NVIDIA Jetson (TensorRT, CUDA) under real compute and power constraints How to Apply If you have hands-on experience building and deploying autonomous systems in real-world environments, we'd love to hear from you. Please apply with your CV and, if available, examples of robotics or autonomy projects you've personally developed or deployed. SPG / DCIT Saudi Born. Future Built.