Systems Software Engineer - Machine Learning Ops

Role responsibilities

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

Requirements

Requires 5+ years of professional experience in production-grade C++ and a strong systems programming background. Candidates should be familiar with ML framework frontends and hardware acceleration APIs.

Key skills

C++, Systems Programming, Machine Learning Ops, Full-stack Development, Data Pipelines, Hardware Acceleration APIs, Distributed Systems, Performance Profiling, Backend Services, Model Inference, Data Annotation, Quality Control

Keywords

C++, MLOps, AI Infrastructure, Data Pipelines, Inference Runtimes, Hardware Acceleration, Distributed Systems, Performance Optimization, Backend Engineering, Full-stack Development, Model Training, Benchmarking, Production-grade Software, Data Annotation, Systems Software Engineering