GNC Engineer, Tracking Level 2

About the role

We are looking for a software engineer focused on real-time tracking, state estimation, and multi-sensor fusion for embedded autonomous systems. This role sits at the intersection of guidance/navigation, computer vision, and real-time software engineering.

Responsibilities

• Design and implement real-time tracking and state estimation algorithms for airborne and autonomous systems
• Develop and maintain multi-target tracking pipelines using camera, IMU, and additional sensor inputs
• Implement filtering and sensor fusion algorithms including: Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), Particle Filters, IMM / Multiple-Model Estimators, Smoothing and probabilistic estimation methods
• Build robust track management systems including: Track initiation and deletion, Measurement gating, Data association, Covariance management, Occlusion handling, Track confidence scoring
• Interface tracking systems with modern computer vision pipelines and detectors
• Integrate asynchronous measurements from heterogeneous sensors with differing latencies and update rates
• Optimize algorithms for embedded compute platforms including NVIDIA Jetson-class hardware
• Develop low-latency real-time software in C++ for deployment in operational environments
• Work closely with guidance, autonomy, perception, and controls engineers
• Build simulation and replay environments for estimator validation and performance analysis
• Analyze estimator stability, observability, and numerical robustness under degraded conditions

Requirements

• BS/MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Applied Mathematics, Physics, or related field
• Strong experience with state estimation, tracking, or sensor fusion systems
• Strong C++ software engineering experience
• Solid understanding of: Linear algebra, Probability and statistics, Coordinate frames and transformations, Kinematics and dynamics, Numerical methods
• Experience with one or more of the following: Multi-object tracking, Visual-inertial estimation, SLAM, Radar tracking, EO/IR tracking systems, Guidance and navigation systems
• Familiarity with computer vision pipelines and detector outputs
• Experience consuming outputs from CV frameworks such as: TensorRT, DeepStream, OpenCV, PyTorch/TensorRT inference pipelines
• Experience debugging noisy real-world sensor systems

Preferred Qualifications

• Experience with embedded GPU platforms (Jetson Xavier, Orin, CUDA)
• Familiarity with EO/IR sensor systems
• Experience with asynchronous sensor timing and synchronization
• Experience building high-rate telemetry or distributed real-time systems
• Understanding of: Bayesian filtering, Multi-hypothesis tracking, JPDA/MHT approaches, Optical flow, Visual odometry
• Familiarity with ROS2, GStreamer, or DeepStream pipelines
• Experience with hardware interfaces such as: CAN, UART/RS232, Ethernet, UDP/TCP, MIPI, CSI-2
• Experience with simulation environments and hardware-in-the-loop testing
• Prior aerospace, defense, or autonomous systems experience