Systems Software Engineer - Machine Learning Ops

Role responsibilities

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 in production ML environments.

Requirements

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

Key skills

C++, Systems Programming, Machine Learning Ops, Data Pipelines, Full-stack Development, Backend Services, Hardware Acceleration APIs, Model Inference, Distributed Systems, Data Annotation, Benchmarking Frameworks, Production-grade Coding

Keywords

C++, MLOps, AI Infrastructure, Data Pipelines, Inference Runtimes, Hardware Acceleration, Distributed Systems, Model Training, Benchmarking, Data Annotation, Systems Programming, Full-stack Development, Backend Services, Production Code, AI Research