Systems Software Engineer - Machine Learning Ops

Job Description

Design and optimize high-performance C++ systems for large-scale AI data pipelines and evaluation workflows. Develop full-stack tooling and backend services for data annotation and quality control while resolving systemic bottlenecks.

Requirements: Requires 5+ years of professional experience in production-grade C++ and a strong background in systems programming. Candidates must be fluent in English and experienced with ML framework frontends or inference runtimes.

Key Skills: C++, Systems Programming, Machine Learning Ops, Data Pipelines, Full-stack Development, Hardware Acceleration APIs, Model Inference, Distributed Systems, Backend Services, AI Infrastructure, Data Annotation, Benchmarking Pipelines