Electrical Engineer
Full Job Posting
1418
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.
We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing.
The Electrical Engineer will play a pivotal role in designing innovative hardware systems for AI/ML applications.
We are seeking a motivated Electrical Engineer with 2–4 years of experience in schematic capture, PCB design, and server hardware development.
This role includes close collaboration with multiple partners to drive designs from concept through mass production.
The ideal candidate is comfortable working across organizational boundaries, ensuring design quality, manufacturability, and on-time delivery in a fast-paced environment.
Responsibilities
- Develop and maintain electrical schematics for various printed circuit assemblies
- Design and layout multilayer PCBs
- Work closely with partners to review designs, provide technical guidance, and ensure alignment with system requirements
- Drive design for manufacturability (DFM), design for assembly (DFA), and design for testability (DFT)
- Support server subsystem integration
- Participate in design reviews
- Support prototype builds, board bring-up, debugging, and validation
- Track and resolve design issues, including root cause analysis and corrective actions
- Ensure proper documentation, revision control, and engineering change management (ECO/ECN processes)
Requirements
- Bachelor’s degree in electrical engineering
- 2–4 years of experience in schematic capture and PCB design
- Proficiency with PCB design and schematic tools
- Strong understanding of analog and digital circuit design fundamentals
- Experience with multilayer PCB layout
- Experience with lab equipment (oscilloscope, multimeter, logic analyzer)
Differentiators
- Experience with server platforms or data center hardware
- Knowledge of power delivery network (PDN) design for high-power systems
- Familiarity with signal integrity and power integrity analysis tools
- Experience with compliance and validation (EMI/EMC, safety, regulatory)
- Exposure to global manufacturing environments and supply chain coordination
- Familiarity with PLM systems and change management workflows
We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone.
We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work.
If you have a disability or additional need that requires accommodation, just let us know.
USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future.
Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP).
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 Graphcore
Semiconductor company that developed the Intelligence Processing Unit (IPU), a processor purpose-built to accelerate machine learning and AI workloads.
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