Software Engineer

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client develops technology that makes industrial environments safer through real-time monitoring.

The Ukrainian engineering team is building an industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The focus is on high-performance systems, real-time data processing, memory and data movement, CPU/GPU utilisation, concurrency and low latency.

You’ll work on a runtime that executes CV/ML pipelines as a graph of processing stages and help build reliable, efficient infrastructure for model inference and real-time video processing.

What we’re looking for

We are open to engineers with backgrounds in C++, Python, Go or similar. The programming language is secondary — strong systems thinking and relevant practical experience matter more.

Must-have:

• Commercial Software / Systems Engineering experience.
• Experience with performance- or latency-sensitive systems.
• Strong understanding of processes, concurrency, memory and data movement.
• Experience with profiling, debugging and performance optimisation.
• Solid Linux fundamentals.

• Experience with at least one of C++, Python, Go or similar.

   

Particularly relevant experience includes:

• Model inference / CV pipelines.
• Real-time video or camera processing.
• GPU / CUDA optimisation.
• Performance-critical data processing.
• Robotics or other real-time systems.

• Optimisation of CPU/GPU utilisation and data transfer.

   

Nice to have

• CUDA, TensorRT.
• OpenCV.
• GStreamer / FFmpeg / RTSP.
• ZeroMQ.
• Shared memory / zero-copy.
• C++ / Go.

• Binary serialisation such as FlatBuffers.

   

What you’ll work on

• Build and optimise the real-time Pipeline Engine.
• Turn CV/ML inference code into production pipeline stages.
• Work with shared memory and zero-copy data transfer.
• Optimise CPU, GPU, memory usage and latency.
• Work with inter-process communication and process orchestration.
• Profile and debug complex runtime issues.

• Contribute to the architecture of the real-time processing infrastructure.

   

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Opportunities for technical growth.