ResponsibilitiesDevelop and integrate real-time cooperative control, decentralized routing, and perception algorithms on embedded platforms such as NVIDIA Jetson devices.
Architect and optimize multi-agent communication networks utilizing ROS2 and DDS architectures to ensure reliable data distribution in challenging environments.
Implement and maintain Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) testing environments to rigorously validate swarming features before physical flight.
Collaborate with AI, controls, and hardware teams to ensure tight integration between swarming behaviors and other onboard subsystems.
Profile and debug system performance under embedded constraints (compute, thermal, bandwidth), ensuring stability and robustness in multi-vehicle field deployments.
Contribute to system-level architecture discussions with a focus on communication reliability, modularity, and clean C++ implementation.
QualificationsBachelor's or Master's degree in Engineering, Computer Science, Aerospace, or a related technical field.
5+ years of professional software engineering experience in robotics, aerospace, or autonomous systems.
Expert-level proficiency in modern C++ (C++17/20) for low-latency, multi-threaded embedded and robotics development.
Deep, hands-on knowledge of ROS2 and a strong foundational understanding of DDS architectures for real-time communication.
Strong experience working with embedded Linux platforms, particularly NVIDIA Jetson devices, and hardware interfaces.
Familiarity with autonomous swarming algorithms (e.g., flocking, consensus, decentralized task allocation) deployed on physical multi-vehicle systems is highly desirable.
Strong problem-solving and debugging skills, especially in real-time or resource-constrained environments.
Effective communicator and team player in multidisciplinary engineering teams.
Willingness to travel occasionally for field testing and deploymen
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