Principal Engineer
Graphcore
Principal Engineer
Graphcore
Delivers IPU-powered AI cloud services
Location: Milpitas, CA - Please note this a hybrid role with a minimum of 3 days onsite.
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. 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.
Job Overview:
Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability.
This role will be based in Austin or San Jose.
Responsibilities:
Required Skills and Experience :
"Nice to Have" Skills and Experience:
Benefits
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.
Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.
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