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Principal Engineer in Power Engineering

GraphcoreUS - Milpitas
Hybrid Full-time

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Experience Level

Mid to Senior

Qualifications

We are looking for candidates with a strong background in power engineering, including experience in power delivery systems and architecture. A deep understanding of hardware design principles and the ability to work collaboratively in a cross-functional environment are essential. Effective communication skills and a proactive approach to problem-solving will be key to your success in this role.

About the job

Principal Engineer, Power Engineering

Graphcore is a globally recognized leader in the development of Artificial Intelligence computing systems. We specialize in designing advanced semiconductors and data center hardware, delivering the unique processing power essential for driving AI innovation while ensuring the efficiency necessary for its widespread adoption. As a proud member of the SoftBank Group, Graphcore is at the forefront of transformative technologies and is expanding with a new AI Engineering Campus in Austin, a pivotal location in shaping the future of AI computing.

Job Overview:

We invite applications for the role of Principal Engineer, Power Engineering, where you will be instrumental in defining the architecture for power delivery components spanning from grid to chip. You will collaborate closely with cross-functional teams, including hardware engineers, firmware developers, and data center operations, ensuring our infrastructure not only meets customer requirements but also adheres to high standards of performance, reliability, and scalability.

This position is available in Austin or San Jose and offers the flexibility of being performed either onsite or remotely within the United States.

About Graphcore

Graphcore is a leading innovator in AI computing technologies, dedicated to redefining the capabilities of artificial intelligence through cutting-edge semiconductor design and efficient data center hardware. As part of the SoftBank Group, we are committed to advancing the future of AI.

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