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 a native or fluent English speaker with over 5 years of professional experience in production-grade C++. Candidates must have experience with ML framework frontends, inference runtimes, and hardware acceleration APIs.

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