Principal AI Engineer: Edge Vision & Real-Time Tracking

Synoptix Limited; Frenchay; Hybrid; GBP 77,000 - 94,000; Full time

Benefits offered by this job

Annual bonus

25 days holiday

Buy/sell up to 5 days

Flexible hybrid working

Udemy training

Electric car scheme

Bike to work scheme

Private health care

Job summary

Synoptix Limited is seeking a skilled AI/ML engineer to advance high-throughput vision systems on NVIDIA Jetson hardware with CUDA/TensorRT acceleration. You will work with multi-modal sensors and develop robust real-time tracking while contributing to AI assurance and safety across diverse projects.

Ideal candidates have strong experience in C++, Python, PyTorch, OpenCV and MLOps, with a focus on edge AI and research. Hybrid working, competitive bonus, and extensive training options are offered.

Qualifications

• Proficiency in C++, Python, PyTorch, OpenCV, CUDA and TensorRT.
• Experience with ML/DL, computer vision and MLOps.
• Familiarity with edge AI hardware and real-time vision systems.

Responsibilities

• Develop high-throughput vision systems on NVIDIA Jetson hardware with CUDA/TensorRT acceleration.
• Work with multi-modal sensors (thermal and optical).
• Build robust real-time tracking and contribute to AI assurance and safety.
• Deliver expertise across internal/external projects and lifecycle stages.
• Guide junior engineers and engage with customers to identify opportunities.

Skills

C++

Python

PyTorch

OpenCV

CUDA

TensorRT

Git

WSL

Docker

MLOps

Edge AI

Research

Machine Learning

Deep Learning

Computer Vision

Jira

Confluence

Tools

Confluence

Jira

Job description

Synoptix Limited is seeking a skilled AI/ML engineer to advance high-throughput vision systems on NVIDIA Jetson hardware with CUDA/TensorRT acceleration. You will work with multi-modal sensors and develop robust real-time tracking while contributing to AI assurance and safety across diverse projects.

Ideal candidates have strong experience in C++, Python, PyTorch, OpenCV and MLOps, with a focus on edge AI and research. Hybrid working, competitive bonus, and extensive training options are offered.