Principal AI Systems Performance Engineer

Overview

Direct controlled AI workload performance experiments on complete server systems to identify bandwidth, capacity, latency, power and data-movement limits, and convert findings into product requirements and guidance for engineering, product and customer teams.

What you'll do

• Develop and perform controlled, representative AI experiments on current and pre-production CPU-GPU systems, evaluating memory and storage performance, power, and thermal tradeoffs.
• Profile workloads from GPU memory through system memory, CXL-attached memory, storage, and interconnects; assess performance from node to cluster scale, including efficiency, latency, utilization, scalability, and tail behavior.
• Evaluate data placement, migration, prefetching, compression, and tiering approaches for KV cache, model state, and other AI data.
• Build and validate performance models, simulations, traces, and reusable benchmarking tools to forecast future system requirements.
• Lead cross-functional projects and transform outcomes into product requirements, develop recommendations, publications, demonstrations, and customer mentorship.

What you'll need

• Bachelor's degree with at least 10 years of experience; master's degree with 5 or more years; or Ph.D. with demonstrated experience in a related field.
• Hands-on experience profiling and benchmarking multi-GPU AI systems across single-node and multi-node environments.
• Understanding of transformer workloads, memory behavior, distributed systems, and agentic AI infrastructure.
• Experience with PyTorch, an AI serving platform, Python, and at least one of C, C++, CUDA, or Triton.
• Ability to lead controlled experiments and communicate results to technical and business audiences.

Nice to have

• Experience with memory tiering, KV-cache management, or emerging AI workloads.
• Experience with disaggregated infrastructure or performance modeling and simulation.
• Relevant research, patents, open-source contributions, or other substantial technical work.

Details

• Location: Hyderabad, Telangana, India.