Perception & Fusion Engineer

About the Company

Swarm Aero is redefining air power, building the largest swarming UAV and the most versatile swarming aircraft network in the world. The team has aerospace experience from Scaled Composites, Airbus, Archer Aviation, Blue Origin, and Boom Supersonic.

Responsibilities

• Train, tune, and test automatic target recognition and track management systems using neural networks
• Develop multi-sensor fusion and state estimation algorithms (Kalman filters, particle filters, multi-target tracking) for resource-constrained vehicles
• Design distributed fusion approaches to combine tracks across the swarm
• Characterize algorithm performance against real-world flight data and simulation
• Optimize models and estimators for real-time inference on edge compute
• Write clean, maintainable, and efficient code
• Travel up to 25% for onsite test and integration events

Requirements

• MS or PhD in Robotics, Computer Science, Electrical Engineering, Applied Math, or related field
• Expertise in estimation theory and multi-target tracking (Kalman/particle filters, JPDA, MHT, etc.)
• Hands-on deep learning experience for detection or classification
• Strong programming skills in C++, Rust, Go, and/or Python
• Track record of taking algorithms from research to deployment on real systems

Preferred Qualifications

• Publications or deployed work in ATR, multi-sensor fusion, or distributed estimation
• Experience with EO/IR, radar, or RF sensor processing on aerial platforms
• Experience deploying ML models to embedded or edge hardware (TensorRT, ONNX, quantization)
• Familiarity with defense sensing and tracking problem domains

Benefits

• Meaningful equity
• Medical, dental, vision, and 401k
• PTO and paid sick leave
• Monthly wellness stipend
• Daily catered lunch (office)
• Paid parental leave