Real-Time Embedded Vision Engineer – Wearables

present of AI; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

Augmodo builds wearable SmartBadges that passively scan retail stores to create live 3D maps and real-time shelf inventory data. This role focuses on building and tuning vision and machine learning pipelines for localization, mapping, and detection, then ensuring they run reliably at scale on embedded devices.

A strong candidate brings hands-on production vision work, solid Python and ideally C++, and comfort with PyTorch or TensorFlow plus OpenCV.

Qualifications

• Hands-on production vision experience with real-time image/video processing.
• Proficient in Python and C++, with familiarity in PyTorch or TensorFlow and OpenCV.

Responsibilities

• Build and tune vision pipelines for localization, mapping and detection.
• Run pipelines at scale on large image/video datasets.
• Collaborate with hardware engineers to fit pipelines onto devices and ensure reliable deployment.

Skills

Python

C++

PyTorch

TensorFlow

OpenCV

Tools

OpenCV

Edge device deployment

Job description

Augmodo builds wearable SmartBadges that passively scan retail stores to create live 3D maps and real-time shelf inventory data. This role focuses on building and tuning vision and machine learning pipelines for localization, mapping, and detection, then ensuring they run reliably at scale on embedded devices.

A strong candidate brings hands-on production vision work, solid Python and ideally C++, and comfort with PyTorch or TensorFlow plus OpenCV.