About us
Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised 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.
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 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 and Duties
You 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 optimise in-house flows and methodologies
You 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.
Candidate Profile
Essential:
- 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 seen 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 reasonable breadth of experience with physical design flows such as: Floorplanning/Budgeting, Synthesis, Place and Route, Clock CTS, Timing Analysis, Logical Equivalence, Physical Verification (DRC/LVS/ERC)
- Minimum 4 years relevant engineering experience
Desirable
- In depth expertise in one or more aspects of physical design flows
- Structuring of builds to maximise 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 designs
- Experience with Ethernet, PCIe, LPDDR, HBM, UCIe implementations
- Power integrity and optimization
- 2nm or 3nm technologies
- Chip finishing (pad rings, chip level LVS/DRC/ERC)
- Design for test
- Team management
- Technical leadership
- Project Planning
Top Skills
What We Do
Graphcore has created a new processor, the Intelligence Processing Unit (IPU), specifically designed for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster. More importantly, it lets AI researchers undertake entirely new types of work, not possible using current technologies, to drive the next great breakthroughs in general machine intelligence.
Our next generation 3D Wafer-on-Wafer Bow IPU systems are helping AI innovators worldwide to build better, more innovative AI solutions, whether their focus is on language and vision, exploring graph neural networks and LSTMs or creating something entirely new.
We believe our IPU technology will become the worldwide standard for artificial intelligence compute. The performance of Graphcore’s IPU is going to be transformative across all industries and sectors whether you are a medical researcher, roboticist or building autonomous cars.
Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. What we do, really makes a difference.
We're always interested in hearing from exceptional people to join our team.
