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Graphcore

Delivers IPU-powered AI cloud services

Director of Software Architecture

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBristol, UKNo salary listed

About the Job

Requirements

  • Proven experience in a leadership role.
  • Experience working with silicon and hardware teams.
  • Technical expertise in the machine-learning accelerator software space.
  • Experience in one or more of the following technologies: firmware, drivers, machine-learning frameworks such as PyTorch and Triton, collectives, high-performance computing, tooling, C and C++, and CPU architectures.
  • Excellent written and verbal communication skills.
  • A collaborative mindset and the ability to influence.
  • A pragmatic approach to decision-making, with awareness of trade-offs and implications.

Responsibilities

  • Communicate the long-term technical vision and strategy for the software architecture.
  • Define processes and procedures for defining, agreeing on, and maintaining the software architecture.
  • Advocate for the long-term technical vision across the organisation.
  • Advocate for user experience so the software architecture results in an easy-to-use software stack.
  • Manage technical and project-level architectural risks.
  • Work closely with engineering, product, leadership, and partners to align business goals with the architectural vision.
  • Inspire, grow, mentor, and develop the software architecture team.
  • Clearly communicate trade-offs associated with architectural decisions that have company-wide impacts.
  • Stay informed about trends and developments in the machine-learning and software ecosystem.

Desired Qualifications

  • Demonstrable experience in a previous architecture role.

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

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