Perception & Sensor Fusion Engineer

Job description

Job responsibilities

• Develop perception and sensor-fusion algorithms that combine observations from multiple sensor modalities.
• Develop and evaluate algorithms for object detection, classification, tracking, and estimation.
• Train, evaluate, and deploy machine-learning models where ML is the right approach to the problem.
• Develop algorithms that use information from one sensor to guide or cue another sensor, including PTZ cameras.
• Analyze real-world sensor data to identify failures, edge cases, and opportunities to improve performance.
• Integrate perception outputs with production software and cloud applications used by mission operators.
• Validate and continuously improve perception capabilities using real operational data.

Job requirements

• Strong software engineering and algorithm-development skills in Python and/or C++.
• Hands-on experience with perception, computer vision, sensor fusion, tracking, or related robotics algorithms.
• Experience working with real sensor data and developing systems that must perform reliably in uncontrolled environments.
• Strong understanding of one or more areas such as object detection, multi-object tracking, state estimation, sensor fusion, or computer vision.
• Experience developing and evaluating machine-learning models for perception.
• Ability to turn noisy sensor observations into reliable, measurable system outputs.
• Experience taking algorithms from development through integration and validation in a production system.