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Graphcore

Delivers IPU-powered AI cloud services

Staff Silicon Logical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience in logical design in a relevant industry.
  • Eight to twelve years of experience in the semiconductor industry or product development.
  • Ability to work across teams and debug issues to identify root causes.
  • A degree in Computer Science, Engineering, or a related subject.
  • Ability to script in Python and/or TCL for automation and to solve design issues.
  • Knowledge of SystemVerilog.
  • Knowledge of digital design flows.

Responsibilities

  • Integrate IP and subsystems into top-level SoC designs.
  • Develop and maintain build and configuration environments.
  • Perform synthesis, linting, clock-domain crossing and reset-domain crossing checks, and timing checks at the SoC level.
  • Support verification and physical design teams through clean interface hand-offs.
  • Debug and resolve integration-related issues across multiple hierarchies.
  • Contribute to continuous improvement of integration flows and automation.
  • Produce high-quality microarchitecture and other documentation.
  • Ensure good communication between sites to maintain consistent working practices.

Desired Qualifications

  • Processor design experience.
  • Experience with application-specific blocks.
  • Experience with high-speed serial interfaces.
  • Experience with complex third-party IP integration.
  • Arithmetic pipeline design experience.
  • Floating-point design experience.
  • Design-for-test experience.
  • Synthesis experience.
  • Timing analysis experience.
  • Project planning experience.
  • Power integrity knowledge.
  • Knowledge of silicon transistors.

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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