Senior Software Engineer

Data Science UA is seeking a Senior Software Engineer to build the performance-critical core of a real-time computer vision pipeline for industrial safety, collaborating with CV/ML engineers to turn model inference code into reliable production systems.

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimize the core Pipeline Engine - an in-process, real-time runtime that runs the CV pipeline as a graph of stages, where latency is measured in milliseconds.
• Use and extend the zero-copy shared-memory pools that pass frames between processes (C core + Python/Go bindings).
• Build and tune low-latency ZeroMQ communication layers for passing control messages, metadata, and synchronization signals between pipeline components.
• Work with pipeline metadata formats and serialization boundaries, with awareness of performance tradeoffs around FlatBuffers or similar schema-based binary formats.

• Senior-level engineering experience in performance-sensitive systems, with strong systems thinking: concurrency, process models, memory ownership, data movement, latency/throughput tradeoffs, failure modes, and profiling.
• Practical Python experience is expected, but the core requirement is systems-level reasoning.
• Experience building or operating real-time ML/CV inference pipelines, video processing systems, robotics perception stacks, or other latency-sensitive data-processing runtimes.
• Solid experience with Docker and containerized environments.
• Solid Linux fundamentals.
• Basic understanding of CUDA, including IPC handle management, stream synchronization (nice-to-have).
• Knowledge of C/C++/Go (nice-to-have).
• Experience with video/CV infrastructure: OpenCV, GStreamer, FFmpeg, RTSP streams, or camera pipelines (nice-to-have).

• English classes
• PE support by professional accountants
• 40 days of PTO
• Medical insurance
• Team-building events, conferences, meetups, and other activities
• Many other benefits you’ll find out at the interview