Software Engineer - Unmanned Modular Systems

About Our Client

Our Client is a leading technology and engineering company specializing in advanced electro-optical systems, embedded technologies, and intelligent automation solutions. They develop cutting-edge products for mission-critical applications, leveraging artificial intelligence, computer vision, and embedded computing to deliver innovative solutions for defense, industrial, and high-performance imaging environments.

Position Overview

Our Client is seeking a highly skilled AI/ML Software Engineer to join their advanced electro-optics team. This role is responsible for developing, adapting, and optimizing image recognition algorithms for tactical environments and embedded edge-computing platforms. The ideal candidate will combine strong theoretical knowledge with practical software engineering expertise to build reliable, high-confidence computer vision solutions capable of operating in real-world conditions.

Key Responsibilities

• Assess, modify, and optimize image recognition algorithms, including object detection, semantic segmentation, and object tracking models such as YOLOv8, Mask R-CNN, and DeepSORT, for embedded and edge computing platforms.
• Design, develop, and implement synthetic labeled training datasets to supplement real-world imagery and improve model robustness across varying environmental and operational conditions.
• Generate physics-based synthetic imagery by incorporating factors such as illumination, material properties, atmospheric effects, and sensor characteristics to accurately reflect real optical sensor performance.
• Evaluate and validate AI model performance using quantitative metrics including precision, recall, confusion matrices, confidence intervals, and other statistical measures to ensure deployment readiness.
• Collaborate closely with AI researchers, software developers, hardware engineers, and system integration teams to ensure machine learning solutions meet mission objectives and hardware constraints.
• Optimize AI models for embedded hardware platforms while balancing computational performance, power consumption, and inference speed.
• Research and implement emerging AI, machine learning, and edge deployment technologies to continuously improve system capabilities and efficiency.
• Participate in software design, testing, debugging, and continuous improvement throughout the product development lifecycle.

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline.
• Strong experience with machine learning frameworks such as PyTorch, TensorFlow, or ONNX.
• Proficiency with computer vision libraries and deployment tools including OpenCV, NVIDIA TensorRT, or OpenVINO.
• Strong programming skills using Python and/or C++.
• Experience deploying AI models on embedded or edge computing hardware such as NVIDIA Jetson, Intel NUC, or AMD Ryzen Embedded platforms.
• Demonstrated experience evaluating and improving machine learning algorithms using quantitative performance metrics.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work effectively within multidisciplinary engineering teams.

Preferred Qualifications

• Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field, or 5+ years of hands-on experience developing AI/ML solutions for imaging, optical, or sensor-based systems.
• Background in optical physics, radiometry, computer graphics, or computational imaging.
• Experience generating physics-based synthetic imagery using Blender, Unreal Engine, or custom rendering pipelines.
• Understanding of optical sensor modeling, including concepts such as MTF, SNR, contrast, and spectral response.
• Experience with MLOps tools for data versioning, dataset management, experiment tracking, and automated training pipelines.
• Familiarity with modern edge AI optimization and deployment techniques.

Preferred Technical Skills

• Computer Vision
• Deep Learning
• Image Recognition
• Object Detection
• Semantic Segmentation
• Object Tracking
• Synthetic Data Generation
• Embedded AI
• Edge Computing
• Python
• C++
• PyTorch
• TensorFlow
• ONNX
• OpenCV
• TensorRT
• OpenVINO
• NVIDIA Jetson
• Intel NUC
• AMD Ryzen Embedded
• Blender
• Unreal Engine
• MLOps

Why Join Our Client?

• Work on innovative AI and computer vision technologies for advanced imaging systems.
• Collaborate with highly experienced multidisciplinary engineering teams.
• Contribute to mission-critical solutions utilizing cutting-edge machine learning and embedded computing technologies.
• Competitive compensation and comprehensive benefits package.
• Opportunities for professional growth and continued technical development.