Senior Perception Engineer — Aerial Vision, Tracking & 3D Geometry.

What we’re looking for

The day-to-day

• 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.

You should apply if you

• 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.

Nice to haves

• Experience with aerial / drone (UAV) perception, target tracking, geolocation, or autonomous aircraft.
  
  
• Familiarity with ROS 2, PX4, ArduPilot, MAVLink, or comparable robotics and flight-control software stacks.
  
  
• Edge / real-time deployment experience with NVIDIA Jetson, TensorRT, CUDA, VPI, GStreamer, or hardware-accelerated camera pipelines.
  
  
• Visual-inertial odometry (VIO), visual SLAM, structure-from-motion, factor graphs, bundle adjustment, or GNSS-denied navigation.
  
  
• Experience with NVIDIA Isaac Sim, software-in-the-loop / hardware-in-the-loop testing, synthetic data, or simulation-based validation.
  
  
• Experience with low-light, thermal, EO/IR, fisheye, gimbal-mounted, or long-range imaging systems.

What we offer