Stealth Startup

Senior Perception Engineer, Computer Vision

El Segundo, CA

full_time

About This Job

About the Company:

We are a stealth-mode Aerospace & Defense startup headquartered in El Segundo, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and several Silicon Valley firms. With a world-class business development & leadership team already in place, we are well positioned to capitalize on already overwhelming demand.

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.

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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.

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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 sytems

Required Qualifications:

•

M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Physics, Aerospace Engineering, or a related Field

•

4-5+ years of experience in computer vision, sensor fusion, and real-time image processing for defense, robotics, or aerospace applications

•

Strong background in optics, infrared imaging, radar signal processing, and multispectral/hyperspectral imaging.

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Experience with physics-based image formation models, including camera calibration, radiometric corrections, and optical distortion modeling.

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Expertise in object tracking techniques, including motion models, optical flow, and deterministic state estimation.

•

Proficiency in programming languages such as C++, Python, and MATLAB for real-time applications.

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Hands-on experience with embedded systems and real-time optimization for edge computing platforms.

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Experience integrating multiple sensing modalities (EO, IR, LiDAR, radar, RF) into a cohesive perception systems

•

Strong mathematical foundation in linear algebra, signal processing, machine learning, and probabilistic estimation.

Preferred Qualifications:

•

Experience in missile guidance, UAV autonomy, or defense-related sensor systems.

•

Understanding of signature-based target classification methods, including thermal and radar cross-section (RCS) analysis.

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Hands-on experience with ROS (Robot Operating System) for perception and sensor inte

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gration. Familiarity with synthetic aperture radar (SAR) processing and passive RF-based target detection.

•

Familiarity with synthetic data generation and simulation tools such as CARLA, Gazebo, or Unreal Engine

•

Experience with numerical modeling of sensor behavior and adaptive optics techniques

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Background in high-speed image processing and real-time embedded vision system design.

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Senior Perception Engineer, Computer Vision

About This Job

About the Company:

Job Overview:

Key Responsibilities:

Required Qualifications:

Preferred Qualifications:

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