Object Detection and Tracking Engineer

Join our team as an Object Detection and Tracking Engineer, where you will develop advanced perception algorithms, implement sensor fusion frameworks, and optimize perception performance for autonomous aircraft. You will collaborate with various teams, validate algorithms in simulated and operational settings, and contribute to innovation in airborne sensing. This position requires a strong background in algorithm development, airborne sensing systems, and real-time applications.

• Develop and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions
• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. * Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms