Perception Engineer, Autonomy (Air Domain)

Job description

Job responsibilities

• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience

Job requirements

• BS/MS in Electrical, Aerospace or Mechanical Engineering, Computer Science, Robotics, or a related field, plus 3+ years building perception or estimation software for autonomous systems.
• Strong modern C++ (17/20) for real-time, performance-critical code on Linux. Comfortable with linear algebra libraries (e.g. Eigen) and profiling.
• Solid grounding in state estimation: Kalman filter variants (EKF/UKF), multiple-model filters (IMM), and covariance and uncertainty handling.
• Experience with multi-target tracking and sensor fusion: data association, track management, and fusing heterogeneous sensors that report intermittently and with noise.
• Working knowledge of machine learning for prediction, including sequence models (RNN/LSTM, transformers), training pipelines, and evaluating models on held-out data.
• Python for data pipelines, analysis and visualization of logged and simulated runs.
• Experience validating algorithms in simulation and with recorded data: designing experiments, defining metrics, and reading results honestly.
• Bachelor's degree in Computer Vision, Computer Science, Electrical Engineering, Robotics, or a related technical field2+ years of experience in industry.