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Graphcore

Delivers IPU-powered AI cloud services

Principal Silicon Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Verification experience in a relevant industry.
  • Proven leadership and planning skills.
  • Ability to work across teams and programming languages to find root causes of deep and complex issues.
  • Ability to research and solve complex problems.
  • Ability to present technical and functional knowledge and design experiments or projects that contribute to the overall direction of the team.
  • Ability to exercise independent judgment in developing methods, techniques, and evaluation criteria for obtaining results.
  • Ability to influence colleagues and explain difficult concepts.
  • Experience with the verification process in CPU and/or ASIC environments.
  • Experience with SystemVerilog, Python, C++, and Linux.
  • 12–14 years of engineering experience.

Responsibilities

  • Perform verification activities within the verification team.
  • Ensure good communication between sites.
  • Plan verification, specify coverage, and close functional coverage.
  • Provide feedback to architects.
  • Generate tests and diagnose or triage failures.
  • Contribute to shared verification infrastructure.

Desired Qualifications

  • Experience with UVM.
  • Experience with SVA.
  • Experience with assembly languages.
  • Experience with LLVM and GCC.
  • Experience with distributed version control systems such as Git.
  • Experience with SGE or other distributed resource management systems.
  • Experience with XML and XPath/XSLT.
  • Experience with web programming, including HTML/DOM, JavaScript, and SQL.

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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