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Active4mo ago

Director - Post-Silicon Validation (Functional)

Graphcore·📍 Austin, Texas, United States

Employment

FULL TIME

Work mode

On-site

Experience

10+ years

Salary

Not disclosed

Salary not disclosed

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Role overview

Job description

Graphcore Director-Post Silicon Validation (Functional) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, Texas which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. Job Summary We have an exciting opportunity to be part of a collaborative, cross-fun

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About this listing

  • Listed from a Greenhouse careers board
  • Posted 2 Jul 2026

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What they are looking for

Skills & requirements

Qualification

Understanding of ML applications and their workloads • A self-starter who can apply independent judgement • A team player able to lead and support colleagues with difficult concepts • Strong experience in Bare metal / embedded C/C++ • Excellent problem-solving, analytical & diagnostic skills • Ability to work across teams and programming languages to find root causes of critical and complex issues • Experience of the post-silicon validation process applied in digital ASIC environments • Python, Linux • Excellent communication skills and the ability to explain difficult concepts to resolve issues Preferred

Department · Post Silicon Validation

Hiring company

Graphcore

Education

Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines

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