G

Graphcore

Delivers IPU-powered AI cloud services

Principal AI Performance Engineer

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedHybrid

About the Job

Requirements

  • Deep experience profiling and optimizing artificial intelligence, 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.

Responsibilities

  • Define the performance direction for AI training and inference workloads.
  • Lead performance investigations spanning model behavior through multi-node scaling.
  • Translate profiling, benchmarking, and modeling evidence into technical roadmaps and engineering priorities.
  • Set measurement standards, guide distributed communication strategy, and review critical C++ and Python tools.
  • Guide strategy, resolve complex tradeoffs, and raise performance-engineering standards across the organization.

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

Recently Posted Jobs

Explore more opportunities at Graphcore

See more jobs