G

Graphcore

Delivers IPU-powered AI cloud services

Engineering Manager - Frameworks

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeGdańsk, PolandIn-person

About the Job

Requirements

  • Experience managing and developing software engineers, including coaching, feedback, performance management and career development.
  • Strong software engineering capability, with professional experience in C++ and Python.
  • Clear written and verbal communication in English and Polish, especially when explaining complex technical context.
  • Ability to build alignment across teams, locations and disciplines.
  • Pragmatism when balancing people leadership, hands-on technical contribution, engineering quality and delivery.

Responsibilities

  • Lead engineers contributing to the PyTorch and Triton teams.
  • Support engineers’ development, clarify priorities and keep feedback flowing across locations.
  • Contribute to PyTorch, Triton or related Frameworks work through design, implementation, review, debugging, testing or performance analysis.
  • Help engineers deliver high-quality work while staying fully connected to their teams.
  • Build PyTorch support, an out-of-tree Triton backend, framework integrations, runtime components, kernels, tests, performance tooling and user documentation as part of the Frameworks team.
  • Help Gdańsk engineers stay close to technical leaders, team priorities and the decisions shaping delivery.

Desired Qualifications

  • Experience with PyTorch, Triton, compiler development, MLIR, LLVM, machine learning kernels or accelerator architectures.

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