G
GraphcorePerformance

Principal AI Performance Engineer

Austinonsiteprincipal

via Greenhouse

About this role

About the Job 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.…

Read the full description on Graphcore's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, c++, teams

2

Level fit

This role is principal-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Austin. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonc++teams

More at Graphcore

See all open jobs at Graphcore →