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Graphcore

Delivers IPU-powered AI cloud services

Silicon DFT Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Strong knowledge of Design for Test (DFT), including JTAG, IJTAG, Core Test, SSN, test compression, and OCC.
  • Experience developing DFT specifications, defining architecture, and driving DFT implementation and verification.
  • Strong understanding of scan-based testing, Automatic Test Pattern Generation (ATPG), and gate-level simulation, including experience with tools such as VCS and Verdi.
  • Hands-on Verilog RTL experience and familiarity with SystemVerilog.
  • Experience with simulation, debugging, synthesis, or Static Timing Analysis (STA).
  • Strong scripting and debugging skills using Python, TCL, Perl, or Shell, with experience developing DFT flows and methodologies.

Responsibilities

  • Define and implement DFT architecture and features.
  • Develop DFT flows and methodologies and support their verification.
  • Work on structural test vectors, test coverage, scan-based testing, and ATPG in collaboration with design, verification, physical design, and product engineering teams.
  • Support silicon bring-up, working with product and test engineering teams to identify silicon failures and improve yield learning.

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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