Perception Engineer, Machine Learning

Aerospace & Defense startup currently in Stealth based in El Segundo, made up of former SpaceX, Anduril, and Lockheed engineers, applying their knowledge to produce life-saving systems. Backed by joint staff level military leadership and several major SV firms. Our first product is designed for immediate deployment around the world.

Job Overview :

We are seeking a Perception Engineer with expertise in sensor fusion and computer vision and to develop target detection, tracking, and classification capabilities for a variety of systems. This role requires a deep understanding of optical, infrared, and radar-based perception, as well as geometric vision, image processing, and real-time tracking algorithms.

The ideal candidate will have strong experience in machine learning, sensor modeling, multi-modal data fusion, and computational imaging techniques that enhance target recognition and tracking under real-world conditions, and would use machine learning classification techniques along with physics-based approaches to ensure high reliability and robustness in contested environments.

Key Responsibilities :

• Develop and implement computer vision algorithms for target detection, tracking, and classification using EO / IR, radar, and LIDAR sensor data.
• Design multi-sensor fusion algorithms to improve detection accuracy and reduce ambiguity in real-world scenarios.
• Utilize geometric vision techniques (e.g., epipolar geometry, 3D reconstruction, optical flow, structure from motion) to enhance tracking and target identification.
• Develop and refine atmospheric and environmental compensation models to improve EO / IR sensor performance in adverse conditions (e.g., fog, smoke, turbulence, low-light).
• Implement real-time image processing techniques, including contrast enhancement, noise reduction, feature extraction, and edge detection, to improve sensor data fidelity.
• Develop AI / ML models for friend / foe classification and target type identification (e.g., vehicle, personnel, aircraft).
• Design object tracking algorithms based on deterministic methods such as Kalman filtering, particle filtering, and optical flow-based tracking.
• Model target kinematics and dynamics to enhance predictive tracking and classification.
• Work with hardware engineers to integrate real-time perception algorithms into embedded systems and ensure low-latency processing.
• Perform simulation-based testing and field validation using high-fidelity sensor models and real-world datasets.
• Develop and test friend / foe classification and target type identification algorithms using a variety of data-driven ML models.
• Optimize algorithms for real-time performance on low-SWaP (Size, Weight, and Power) platforms such as FPGA or GPU-accelerated embedded systems.

Required Qualifications :

Preferred Qualifications :

ADDITIONAL REQUIREMENTS :

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

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