Performance Engineering Architect

About the role

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake.

What you'll do

• The engineer will characterize and optimize the performance of AI solutions across GPUs, servers, storage, networking, system software, and AI frameworks
• The role combines hands-on benchmarking, system-level analysis, workload optimization, automation, and collaboration with engineering, product management, field, sizing
• The engineer will turn product features, emerging technologies, and customer questions into reproducible performance evidence that supports product design
• Design and execute performance studies for generative AI, machine learning, and other AI workloads
• Characterize inference and training performance across models, GPUs, precision formats, deployment profiles, and scale configurations

What you need

• LLMs
• Hardware
• Python
• Kubernetes
• Shell scripting
• Docker
• Any graduate

Good to have

• Redis
• VMware
• SAP
• Oracle Database
• ETL
• Data visualisation