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Principal AI Performance Engineer

GraphcoreAustin, Texas, United StatesPerformance
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
9 Oct 2026
Status
Open · checked 8d ago

About this role

This role suits an experienced engineer who wants to define performance direction for large-scale AI systems and influence data center infrastructure. Based in Austin, Texas, the Principal AI Performance Engineer position at Graphcore focuses on analyzing and optimizing AI training and inference workloads.

Role Overview

Graphcore is seeking a Principal AI Performance Engineer in Austin, Texas to shape technical decisions across hardware, software, networking, and system architecture. The professional in this role will lead complex performance investigations, guide distributed communication strategy, and establish measurement standards for large-scale deployments.

Key Responsibilities

Define methods for analyzing and optimizing AI training and inference workloads
Lead difficult performance investigations spanning model behavior and multi-node scaling
Convert profiling, benchmarking, and modeling data into engineering priorities and technical roadmaps
Establish measurement standards and guide distributed communication strategy
Review critical software tools written in C++ and Python

Requirements

Deep background in profiling and optimizing machine learning, AI, or high-performance computing workloads at scale
Demonstrated technical leadership in system architecture or performance-engineering initiatives
Proficiency in C++ and Python, including performance-sensitive software or reliable tooling
Strong comprehension of scaling, compute, memory, and communication behavior in distributed systems
Experience defining optimization standards, measurement practices, or benchmarks across teams

Nice to Have

Experience with high-performance interconnects, accelerated architectures, MLPerf, UCX, libfabric, NCCL, or MPI

Skills and Tools

C++
Python
MPI
NCCL
UCX
libfabric
MLPerf

Salary and Benefits

Graph proporcionan compensation and benefits covering medical, dental, and vision coverage, mental health and wellness resources, retirement savings benefits, and paid time off including vacation, sick time, holidays, and parental leave. Additional offerings include life insurance, disability coverage, flexible working hours, hybrid working arrangements, and professional development resources.

About the Company

Graphcore develops hardware, software, and systems infrastructure for artificial intelligence compute and operates as part of the SoftBank Group.

How to Apply

Candidates should apply on the official Graphcore careers page.

Skills and tech stack

C++PythonMPINCCLUCXlibfabricMLPerfMachine LearningDistributed Systems

Questions candidates ask

Where is the Principal AI Performance Engineer role located?

The position is based in Austin, Texas.

What programming languages are required for the role?

Expert skills in C++ and Python are required.

What kind of workloads will the engineer analyze?

The engineer will analyze and optimize AI training and inference workloads, as well as high-performance computing workloads at scale.

What company owns Graphcore?

Graphcore is part of the SoftBank Group.

Are hybrid work arrangements available?

Yes, flexible working hours and hybrid working arrangements may be available where compatible with the role and team requirements.

Ready to apply?

The application is on the official Graphcore careers page.

Apply on company site