Embedded AI/ML Vision Engineer (Edge 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

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.