Edge AI & Real-Time Computer Vision Engineer

ISSD; Çankaya; On-site; TRY 250,000 - 360,000; Full time

Job summary

ISSD seeks a diligent Software Developer for Image Processing to design and implement real-time computer vision applications on Linux-based edge devices. You will collaborate with AI, software, embedded, and product teams to deploy new capabilities and optimize performance.

The role requires strong C++ and Python skills, solid Linux experience, and a deep understanding of CV/ML concepts, with opportunities to work on cutting-edge inference tech and deployment workflows.

Qualifications

• BS degree in Computer Engineering, Software Engineering, Computer Science, or related field.

Responsibilities

• Design, develop, test, and maintain real-time Computer Vision and AI software running on Linux-based edge systems.
• Develop production-quality software using C/C++ and Python.
• Integrate Object Detection, Classification, and Tracking models into production applications.
• Work closely with AI, software, embedded systems, and product teams to develop and deploy new products.
• Analyze and improve system performance, resource usage, stability, and scalability.
• Debug software and system-level issues in development and production environments.
• Participate in code reviews, technical design discussions, testing, and continuous improvement processes.

Skills

C++

Python

Linux

Computer Vision

Image Processing

OOP

Multithreading

Memory management

Deep Learning

PyTorch

TensorFlow

OpenCV

Git

Performance

Education

BS degree in Computer Engineering/Software Engineering/Computer Science

Tools

OpenCV

PyTorch

TensorFlow

Docker

Qt

ONNX

TensorRT

OpenVINO

Job description

ISSD seeks a diligent Software Developer for Image Processing to design and implement real-time computer vision applications on Linux-based edge devices. You will collaborate with AI, software, embedded, and product teams to deploy new capabilities and optimize performance.

The role requires strong C++ and Python skills, solid Linux experience, and a deep understanding of CV/ML concepts, with opportunities to work on cutting-edge inference tech and deployment workflows.