SOFTWARE DEVELOPER

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

Our research and development team is looking for a diligent teammate that enjoys challenges and solving complex real-world problems in a high-paced work environment!

As a Software Developer about Image Processing, you will engage with cross-discipline teams to conceive and design innovative products. We will maintain a keen interest in emerging technologies with our new team members which is why you need to be skilled with a deep understanding of the latest real-time systems, a keen engineering intuition, and outstanding communication skills.

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.

Requirements

• BS degree in Computer Engineering, Software Engineering, Computer Science, or a related field.
• Good C++ programming skills and understanding of OOP, STL, memory management, and multithreading concepts.
• Solid Python programming and scripting skills.
• Hands-on experience working in Linux environments.
• Good understanding of Computer Vision and Image Processing fundamentals.
• Knowledge of Deep Learning and Machine Learning concepts.
• Hands-on experience with Object Detection and Classification models.
• Experience with OpenCV and at least one major deep learning framework such as PyTorch or TensorFlow.
• Familiarity with Git and modern software development workflows.
• Ability to analyze and optimize software for performance, stability, and resource efficiency.
• Good written and verbal communication skills in English.

Nice to Have

• Experience with object tracking and multi-object tracking algorithms.
• Experience with real-time video processing and camera/RTSP streams.
• Experience with ONNX, TensorRT, OpenVINO, or similar inference technologies.
• Experience with Docker and Qt.
• Familiarity with Large Language Models (LLMs), including model integration, inference, or LLM-based application development.
• Familiarity with Retrieval-Augmented Generation (RAG), AI agents, or multimodal AI models.
• Experience with Intelligent Transportation Systems (ITS), traffic analytics, ANPR, or similar Computer Vision applications.