Robotics Software Engineer

We are seeking a Robotics Engineer to join our team on a contract basis. The ideal candidate will have expertise in

developing autonomous systems for unmanned aerial vehicles (UAVs) and contribute to our cutting-edge drone

squad technology.

Our client: pioneering technology company specializing in advanced autonomy for squad robotic systems.

They’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. The team is dedicated to pushing the boundaries of robotics and AI, with a strong focus on safety and ethical considerations in autonomous systems.

They’re building a diverse team of talented individuals who share our passion for innovation and pushing the boundaries of what's possible in autonomous systems.

About the Role:

At MT we are developing AI capabilities to orchestrate UAVs together, even if heterogeneous (with different capabilities) or built by different OEMs to solve complex missions such as the ability to search enemy objectives, track and engage, autonomously. You will have the unique opportunity to shape AI capabilities in one of the most challenging environments: fast changing, resource constrained, secure, and with high generalization capabilities.

Requierements:

• Hold MSc in automation and control, machine learning, robotics, or related field
• 2+ years of proven experience with autonomous systems (UAVs in particular)
• 2+ years of proven experience in designing and implementing autonomous control systems for UAVs using

ROS and simulation environments (e.g. Gazebo or IsaacSim)

• Have experience integrating edge compute (e.g. Raspberry Pi 5 + AI or Nvidia Jetson) to a UAV
• Integrate sensors and actuators for improved drone perception and navigation
• Knowledge of control systems, computer vision, and machine learning
• Conduct testing and validation of robotic systems in various environments

Technical Skills:

• Robotics Frameworks: ROS/ROS2, Nav2, MoveIt, Ardupilot, PX4, OMPL, PCL, Zenoh
• Embedded Systems: PX4 Firmware, UART, SPI, I2C, CAN, MAVLink
• Edge: Jetson, Qualcomm (QRB5), AIMET, TensorRT, Quantization (int4,int8), Quantization Aware Training,

Pruning, Distillation.

• Simulation: Gazebo, IsaacSim, UnReal Engine(AirSim), Foxglove Studio, RViz2.
• Programming & Tools: C++, Python, Git, Docker, CI/CD, Linux, Docker/Podman

ML specific skills:

• Stochastic processes: behavior trees, FSMs, MDPs
• Learning: RL, Bayesian networks (and BBP)
• Scripting languages: PDDL, RDDL

Nice to have:

• Experience with SLAM, computer vision applied to UAVs
• Knowledge of AI safety principles and practices
• Knowledge of control systems, computer vision, and machine learning
• Familiarity with hardware integration for UAVs