Senior Software Engineer

Що робити

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.

Must-have:
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.

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