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Senior Perception Engineer (Autonomous Drones) - C++/Computer Vision

Relocation
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Lead the development of real-time perception systems for autonomous drones, focusing on C++ implementations of visual detection, multi-object tracking, and 3D target estimation. Own production software pipelines, integrate neural networks, and diagnose field failures while collaborating across ML, autonomy, and embedded teams.

Key Highlights
Own and advance production perception stack for autonomous drones with real-time C++ systems
Develop multi-object tracking, sensor fusion, and monocular 3D target estimation
Integrate and optimize neural networks (ONNX, TensorRT, CUDA) for NVIDIA Jetson hardware
Key Responsibilities
Design, implement, and maintain production C++ perception components for camera-based detection, tracking, and localization on autonomous drones
Develop and optimize multi-object tracking, data association, and sensor fusion algorithms for real-time deployment
Integrate and optimize neural network models (ONNX, TensorRT, CUDA) into production pipelines for NVIDIA Jetson hardware
Analyze flight data to diagnose and reproduce field failures in perception systems
Define software interfaces, conduct code reviews, and mentor engineers across perception, ML, and autonomy teams
Technical Skills Required
C++ Computer Vision Kalman Filtering/Sensor Fusion
Benefits & Perks
Competitive salary
Relocation support
Flexible hours/remote options
Nice to Have
Experience with aerial/drone perception or UAV systems
Familiarity with ROS 2, PX4, or MAVLink
Visual-inertial odometry (VIO) or SLAM expertise

Job Description

What we’re looking for

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.

The day-to-day

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