Senior Performance Engineer

What you'll do

• Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
• Design and execute rigorous performance studies to establish baselines and diagnose regressions.
• Quantify system bottlenecks and develop actionable optimization plans based on profiling and data analysis.
• Define performance evaluation methodologies, benchmarks, and success metrics for AI workloads.
• Partner with deep learning engineers and GPU architects to validate and deliver performance improvements.
• Communicate technical findings and trade-offs to influence system and software design decisions.

What we're looking for

• BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).
• 12+ years of experience with strong programming skills in C++ and Python.
• Ability to build reliable analysis and automation workflows.
• Solid foundation in operating systems, computer architecture, and distributed systems.
• Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.
• Ability to communicate technical findings and prioritize high-impact work across teams.
• Experience analyzing large-scale AI clusters or distributed training and inference workloads.
• Experience with CUDA, GPU computing systems, and deep learning frameworks like PyTorch or JAX/XLA.