Principal Software Engineer - Performance and Scale Engineering

This position calls for a creative, adaptable engineer who is eager to learn new technologies and thrive in a dynamic, open source-oriented culture. You will be part of a centralized Red Hat performance engineering team that fosters innovation and collaboration to achieve world-class AI performance.

What you will do:

Design performance test plans for new MLPerf Training and Inference suites (datacenter & edge) covering LLMs primarily.

Execute accuracy, performance and power submissions; triage regressions and drive improvements using LoadGen logs, traces, and other profiling tools.

Build and maintain highly optimized container-based harnesses (Podman/Kubernetes) for benchmark execution, dataset pre-processing steps and compliance checks for reproducible CI execution.

Profile kernels, GPU runtimes and distributed collectives; propose patches to Red Hat AI software stack to remove bottlenecks revealed by results.

Represent Red Hat in working groups; upstream fixes and new benchmark proposals.

Present results and best practices at premier open source and industry conferences; author technical blogs and white papers that translate benchmark data into customer value.