AI Performance Architect — Large-Scale Systems

Graphcore; Austin (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Flexible working hours

Hybrid working arrangements

Professional-development resources

Job summary

Graphcore in Austin, Texas is seeking a Principal AI Performance Engineer to define how we analyze and optimize AI training and inference workloads at data center scale. You will lead the most challenging performance investigations, spanning hardware, software, networking and system architecture, and translate evidence into roadmaps and priorities.

You will shape measurement standards, guide distributed communication strategies and review critical C++ and Python tools, influencing decisions

Qualifications

• Deep experience profiling AI/ML or high-performance computing workloads at scale.
• Proven technical leadership across complex performance-engineering or system-architecture initiatives.
• Expert C++ and Python skills, including reliable tools or performance-sensitive software.

Responsibilities

• Define how Graphcore analyzes and optimizes AI training and inference workloads.
• Lead the hardest performance investigations, from model behavior to multi-node scaling.
• Turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities.
• Set measurement standards and guide distributed communication strategy across teams.

Skills

C++

Python

MPI

NCCL

UCX

libfabric

MLPerf

Job description

Graphcore in Austin, Texas is seeking a Principal AI Performance Engineer to define how we analyze and optimize AI training and inference workloads at data center scale. You will lead the most challenging performance investigations, spanning hardware, software, networking and system architecture, and translate evidence into roadmaps and priorities.

You will shape measurement standards, guide distributed communication strategies and review critical C++ and Python tools, influencing decisions