We’re looking for a Senior Perception Engineer to co-own and advance the production perception stack for autonomous drones. You’ll develop real-time C++ systems that combine learned visual detections with multi-object tracking, camera geometry, vehicle state, and monocular 3D target estimation. The role is focused on real world and deployable software: translating algorithms and models into maintainable onboard components, validating them on recorded and live flight data, and diagnosing failures across the complete perception pipeline. Design, implement, and maintain production C++ perception components for camera-based detection, tracking, target localization, and trajectory estimation on autonomous drones. Develop and improve multi-object tracking, data association, motion models, filtering, uncertainty propagation, track management, and fusion of detector and single-object-tracker outputs. Estimate target position and motion in world coordinates by fusing monocular vision with vehicle-state and navigation data, accounting for timing, uncertainty, latency, and degraded sensor states. Integrate and optimize neural-network models in the production C++ pipeline using ONNX, TensorRT, CUDA, and NVIDIA Jetson. Analyze recorded flight data and systematically reproduce and diagnose field failures. Define robust software interfaces and engineering standards, conduct design and code reviews, communicate clearly across disciplines, and collaborate effectively with ML, autonomy, simulation, and flight-test teams. Strong programming skills and experience designing, testing, and maintaining performance-sensitive production software. Hands-on experience shipping perception, state-estimation, localization, or tracking software on real robotic systems. Strong understanding of linear algebra, rigid-body transformations, coordinate frames, and projective geometry. Experience with probabilistic estimation, Kalman filtering or related estimators, uncertainty modeling, motion models, and sensor fusion. Ability to integrate learned models into a broader perception system and reason about preprocessing, output semantics, failure modes, latency, and model-to-system trade-offs. Good understanding of algorithms and data structures, strong software architecture judgment, and a track record of independently owning complex technical systems. Strong problem-solving and communication skills, with the ability to mentor engineers and collaborate across perception, ML, autonomy, embedded, and flight-test teams.