Software Engineer - Unmanned Modular Systems

W3Global; Manchester (NH); On-site; USD 120,000 - 190,000; Full time

Job summary

W3Global is seeking an AI/ML Software Engineer to advance embedded vision systems for defense and industrial contexts. You will develop and optimize image recognition algorithms for tactical environments and edge computing platforms.

Collaborate with multidisciplinary teams to balance accuracy with real-time performance, and deploy on embedded hardware such as Jetson and NUC to deliver robust computer vision solutions in real-world conditions.

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.

Responsibilities

• Assess, modify, and optimize image recognition algorithms for embedded and edge computing platforms.
• Design, develop, and implement synthetic labeled training datasets to supplement real-world imagery and improve model robustness.
• 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.

Skills

PyTorch

TensorFlow

OpenCV

Python

C++

ONNX

NVIDIA Jetson

Edge computing

Embedded AI

Computer Vision

Education

Bachelor's degree in Computer Science or related

Master's degree or 5+ years experience in imaging/AI

Tools

NVIDIA TensorRT

OpenVINO

Blender

Unreal Engine

Job description

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.