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Staff Silicon Physical Design Engineer - Bengaluru

Graphcore·Salary not specified

Primary stack

Python

Nice to have's

In depth expertise in physical design flowsStructuring of builds to maximise PPASilicon transistor knowledge5D and 3D designHigh speed, high power and/or full reticle chip designEthernet, PCIe, LPDDR, HBM interfacesPower integrity and optimization2nm or 3nm technologiesChip finishingDesign for testTeam managementProject Planning

Job description

About the Position

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized 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 Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

The physical design team sits within the wider silicon design team which includes RTL, verification, and DFT. Our work also involves strong links with architecture, packaging, and product engineering. We are responsible for working with those teams to create high-quality RTL and building the final chip layout (e.g., GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g., TSMC).

We are looking to hire high-quality silicon physical design engineers to join our team. The successful candidate will support the team with achieving our goals and creating the right engineering solutions. We are a collaborative team and good communication is essential, as is the ability to adapt and learn. For the successful candidate, we offer an open, honest, and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to take ownership of their designs and problem solutions. You will be part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

Responsibilities

  • Contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance, and power-efficient designs in leading-edge process technologies while meeting ambitious development schedules.
  • Contributions are expected to span multiple areas and involve:
    • Using state-of-the-art EDA tools and in-house Graphcore flows to deliver final designs that are of sign-off quality.
    • Enhancing existing flows and in-house tools/APIs to support new features and/or methodologies.
    • Analysis and/or debugging of complex engineering problems leading to workable solutions.
    • Developing an understanding of emerging technical issues and applying that knowledge to optimize in-house flows and methodologies.
  • Work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and contribute meaningfully to the overall efficiency and success of the Physical Team.

Requirements

  • A Degree in Electronic/Electrical Engineering, Computer Science, or related subject with 3+ years of Industry experience.
  • Be highly motivated, a self-starter, and a team player.
  • Excellent problem-solving skills for debugging issues and finding root causes.
  • Ability to program/script (required to solve design issues, typically in Tcl and Python).
  • Experience in 7nm or smaller technologies.
  • A good breadth of experience with physical design flows including:
    • Floorplanning/Budgeting
    • Synthesis
    • Place and Route
    • Clock CTS
    • Logical Equivalence
    • Timing Analysis
    • Physical Verification (DRC/LVS/ERC)

Nice to Have

  • In-depth expertise in one or more aspects of physical design flows.
  • Structuring of builds to maximize PPA.
  • Silicon transistor knowledge including std cell libraries and/or memories.
  • 5D and 3D design (CoWoS, UCIe, etc.).
  • High speed, high power, and/or full reticle chip design.
  • Ethernet, PCIe, LPDDR, HBM interfaces.
  • Power integrity and optimization.
  • 2nm or 3nm technologies.
  • Chip finishing (pad rings, chip level LVS/DRC/ERC).
  • Design for test.
  • Team management.
  • Project Planning.

We Offer

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About the Company

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized 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 Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

© Graphcore. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Graphcore

Artificial Intelligence

About the Company Graphcore is a leading innovator in Artificial Intelligence compute, developing hardware, software, and systems infrastructure to unlock the next generation of AI breakthroughs and power widespread adoption. Products, Services & Tech Stack Core Solutions: Hardware, software, and systems infrastructure for AI. Project Scope & Target Clients Client Base: Innovators creating the next breakthroughs in artificial intelligence. Engineering Scale: Scope and complexity of engineering projects are not specified.

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