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Graphcore

Delivers IPU-powered AI cloud services

Senior Director of System Software

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

About the Job

Requirements

  • A strong track record leading system software teams across closely coupled hardware and software programmes.
  • Experience managing managers or multiple technical teams, with clear ownership of delivery outcomes.
  • Proven ability to build, coach and develop engineering leaders through change and technical uncertainty.
  • Strong judgement across planning, resourcing, dependencies, risk and production release readiness.
  • Experience embedding validation, automated testing, hardware-in-the-loop testing and clear release criteria.
  • Credible technical breadth across firmware, drivers, OpenBMC, quality assurance or related low-level software domains.
  • Applicants must have the legal right to work in the UK.

Responsibilities

  • Lead the system software organisation delivering firmware, drivers, OpenBMC and system software quality assurance.
  • Report to the Vice President of Software and turn software strategy into clear priorities, plans and outcomes.
  • Shape platform bring-up, production release and long-term support across systems.
  • Align technical decisions with business priorities, delivery milestones and product readiness.
  • Build and develop an engineering organisation of managers, technical leaders and engineers.
  • Own execution, quality and cross-functional delivery across hardware, silicon, software and product teams.
  • Lead managers and specialists across firmware, drivers, OpenBMC and quality assurance.
  • Resolve issues across hardware and software boundaries while maintaining focus on delivery impact, security and long-term quality.

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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