Silicon Physical Design Engineer

About the Position

Silicon Physical Design Engineer

Bristol, UK; Cambridge, UK

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software, and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products, and the future of artificial intelligence.

Job Summary

We are looking for high-quality silicon physical design engineers to complement our existing exceptional team. We have a range of roles available with a focus on those with extensive ranges of skills and experience, although exceptional candidates with less experience will be considered. We want people who work collaboratively and proactively within a team focusing on collectively achieving our goals and creating the right engineering solutions. Good communication is essential, as is the ability to adapt and learn – we value the right characteristics more than specific experience.

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 become part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure.

The Team

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

Responsibilities

Applicants will be expected to 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

Candidates will be expected to work closely both with other teams within Graphcore and with 3rd party support engineers/contractors, ensuring good communication between all parties, and to contribute meaningfully to the overall efficiency and success of the Physical Team.

Requirements

Essential Skills and Experience:

• A Degree in Electronic/Electrical Engineering, Computer Science, or related subject
• Be highly motivated, a self-starter, and a team player
• Enjoy taking responsibility and improving skills and knowledge
• 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, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)

Desirable Skills and Experience:

• 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
• 2D 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 flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance, and income protection. We have a generous parental leave policy and an employee assistance program (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software, and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products, and the future of artificial intelligence.