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Graphcore

Delivers IPU-powered AI cloud services

Staff Silicon Physical Design Engineer

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

About the Job

Requirements

  • A degree in Electronic/Electrical Engineering, Computer Science, or a related subject and at least 3 years of industry experience.
  • Ability to program or script, typically using Tcl and Python, to solve design issues.
  • Experience with 7nm or smaller technologies.
  • Breadth of experience with physical design flows, including floorplanning and budgeting, synthesis, place and route, clock tree synthesis, logical equivalence, timing analysis, and physical verification (DRC/LVS/ERC).

Responsibilities

  • Contribute technically to developing next-generation AI superchips, focusing on robust, high-performance, power-efficient designs in leading-edge process technologies and meeting development schedules.
  • Use state-of-the-art electronic design automation tools and in-house Graphcore flows to deliver sign-off-quality final designs.
  • Enhance existing flows and in-house tools and APIs to support new features or methodologies.
  • Analyze and debug complex engineering problems and develop workable solutions.
  • Develop an understanding of emerging technical issues and apply that knowledge to optimize in-house flows and methodologies.
  • Work closely with Graphcore teams and third-party support engineers and contractors, ensuring effective communication and contributing to the efficiency and success of the Physical Team.

Desired Qualifications

  • In-depth expertise in one or more aspects of physical design flows.
  • Structure builds to maximize power, performance, and area (PPA).
  • Knowledge of silicon transistors, including standard-cell libraries and/or memories.
  • Experience with 2.5D and 3D design, including CoWoS and UCIe.
  • Experience with high-speed, high-power, and/or full-reticle chip design.
  • Experience with Ethernet, PCIe, LPDDR, or HBM interfaces.
  • Experience with power integrity and optimization.
  • Experience with 2nm or 3nm technologies.
  • Experience with chip finishing, including pad rings and chip-level LVS/DRC/ERC.
  • Design-for-test experience.
  • Team management skills.
  • Project planning skills.

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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