Robotics Software Engineer

We’re looking for a Robotics Software Engineer focused on autonomous drone systems and real-time edge intelligence. This role sits at the intersection of robotics, perception, autonomy, embedded systems, and AI/ML. You will design and develop autonomy software that enables UAV platforms to perceive, navigate, track, and make decisions in complex environments with minimal operator input. This is a highly hands-on engineering role where you will work across perception pipelines, sensor fusion, flight systems, and real-time compute constraints. Expect to work in a fast-moving environment with aggressive timelines, rapid iteration cycles, and evolving mission requirements.

• 5+ years of experience in robotics, autonomy, or UAV software engineering. \n

• Master’s degree in Robotics, Computer Science, or related technical field. \n, n \n

• Strong C++ and Python programming skills. \n

• Experience with ROS/ROS2 and robotics middleware. \n

• Strong understanding of drone autonomy, navigation, and robotic perception systems. \n

• Hands-on experience with MAVLink protocol development, integration, and debugging. \n

• Experience with PX4, ArduPilot, MAVSDK, QGroundControl, or related UAV ecosystems. \n

• Experience with SLAM, sensor fusion, path planning, localization, or computer vision systems. \n

• Experience integrating AI/ML inference into robotics or embedded platforms. \n

• Experience with GPU-accelerated compute platforms such as NVIDIA Jetson or similar edge AI hardware. \n

• Strong debugging skills across software, hardware, and sensor interfaces. \n

• Experience working with real-world robotic systems and field deployments. \n

• Familiarity with simulation environments such as Gazebo, Isaac Sim, AirSim, or similar platforms. \n

• Understanding of real-time systems, embedded Linux, and performance optimization. \n

• Ability to operate effectively in fast-paced, ambiguous environments. \n

• High ownership mindset with strong execution and problem-solving ability. \n

• Experience with defense, ISR, autonomous systems, or tactical robotics is a strong plus.

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• Design and develop autonomy software for UAV and robotic platforms. \n

• Build real-time perception, navigation, tracking, and decision-making systems for edge-deployed drones. \n

• Develop sensor fusion pipelines integrating thermal, EO/IR, IMU, GPS, LiDAR, and other onboard sensors. \n

• Implement and optimize SLAM, visual odometry, object detection, tracking, and path-planning algorithms. \n

• Develop robust autonomy behaviors including waypoint navigation, obstacle avoidance, target following, and autonomous mission execution. \n

• Integrate and develop MAVLink-based communication, telemetry, command, and control interfaces for UAV systems. \n

• Work with PX4, ArduPilot, and BetaFlight ecosystems to integrate autonomy capabilities with flight controllers and ground control systems. \n

• Integrate AI/ML models into embedded robotics systems under strict SWaP (size, weight, and power) constraints. \n

• Optimize software performance for real-time execution on embedded GPU and edge-compute platforms. \n

• Work closely with hardware, embedded, and perception teams to integrate autonomy capabilities into deployed systems. \n

• Build simulation and test environments for autonomy validation and rapid iteration. \n

• Support field testing, flight operations, debugging, and system bring-up. \n

• Develop tools for telemetry, diagnostics, replay, and autonomous mission analysis. \n

• Contribute to architecture decisions, software reliability, and deployment pipelines. \n

• Drive rapid prototyping and transition concepts into production-ready systems. \n

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