Senior Computer Vision Engineer

				Overview:

By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide. 

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains.  CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.

Responsibilities:

* Design and develop advanced computer vision algorithms, primarily object detection and tracking, using YOLO or similar architectures.
* Optimize and deploy vision models on resource-constrained environments including smartphones, edge devices, and embedded systems.
* Lead end-to-end model development from data collection and preprocessing to training, testing, and production deployment.
* Work cross-functionally with hardware, mobile development, and cloud engineering teams to integrate computer vision capabilities into products.
* Conduct model profiling and compression (e.g., quantization, pruning) to meet latency and performance targets on edge devices.
* Stay current with advancements in computer vision, deep learning, and model deployment frameworks.
* Mentor junior team members and contribute to technical roadmaps.

Qualifications:

* Bachelor's or master's degree in computer science, Electrical Engineering, Artificial Intelligence, or a related field. PhD is a plus.
* 5+ years of experience in computer vision, with a focus on deep learning for object detection.
* Strong proficiency in YOLO (v9, v10, v11), OpenCV, TensorFlow, PyTorch, and ONNX.
* Demonstrated experience deploying computer vision models on mobile platforms (Android/iOS) and embedded devices (Jetson Nano/Xavier, Raspberry Pi, Orange Pi Coral, etc.).
* Proficiency with model optimization techniques such as quantization (e.g., TensorRT, TFLite), pruning, and hardware-specific acceleration.
* Excellent programming skills in Python and C++.
* Strong understanding of image processing, camera systems, and real-time inference constraints.
			

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