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# Principal AI Performance Engineer

- **Company:** Graphcore Limited
- **Location:** Austin, TX, United States
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Systems Engineering, Big Data, C++ (Programming Language), Data Centers, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Systems Architecture, AI Infrastructure
- **Published:** October 10, 2026
- **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8870427002

## About the Role

· Deep experience profiling and optimizing AI, machine learning 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.
· Expert understanding of compute, memory, communication and scaling behavior in distributed systems.
· Ability to define benchmarks, measurement practices or optimization standards across teams.
· Experience with MPI, NCCL, UCX, libfabric, MLPerf, accelerated architectures or high-performance interconnects.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. We also welcome engineers returning to the profession after a career break, including through returnship routes.

## Description

Set the performance direction behind large-scale AI systems built for real deployment.

As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture.

You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities.

You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete.

This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas.

The team and culture

The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior.

Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization.

Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area.