Object Detection and Tracking Engineer

Responsibilities

• Develop advanced perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks integrating vision systems, radar, and other mission sensors using probabilistic and deterministic techniques.
• Develop state estimation capabilities for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs.
• Analyze sensor Interface Control Documents (ICDs) and technical specifications to ensure correct data handling, interpretation, and synchronization.
• Optimize perception pipelines for performance, robustness, and real-time efficiency in simulation and real-world environments.
• Support autonomy integration by interfacing perception outputs with planning, behaviors, and decision-making modules.
• Validate algorithms using synthetic data, simulation environments, and field testing.
• Collaborate with hardware and sensor teams to integrate algorithms with onboard compute platforms and sensor payloads.
• Contribute state-of-the-art techniques for real-time perception on unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel approximately 10–15% of the year to office locations, customer sites, and flight integration events.

Requirements

• Bachelor's or master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
• Typically at least 10 years of related experience with a bachelor's degree, 9 years with a master's degree, or 7 years with a PhD, or equivalent work experience.
• Experience implementing Kalman filters, multi-target tracking, or deep-learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization in real-time applications.
• Ability to interpret and work with ICDs and hardware integration specifications.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.

Nice-to-haves

• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with PyTorch or TensorFlow, particularly for vision-based object detection or classification.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight tests or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.

Benefits

• Opportunity to work at the forefront of AI, autonomy, and next-generation defense systems.
• Mission-driven, entrepreneurial environment.
• Opportunity to contribute to international growth and strategic defense partnerships.
• Collaboration with teams solving complex operational challenges.