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Principal Hardware Diagnostics EngineerGraphcore • Austin, Texas, United States
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Principal Hardware Diagnostics Engineer

Graphcore
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

About us
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
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. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore's AI infrastructure platforms.
This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters.
The Team
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.
The Systems Engineering and Platform Validation team ensures Graphcore's AI compute platforms are reliable, diagnosable, and operationally robust at scale.
The team collaborates with hardware engineering, firmware, cloud infrastructure, and automation teams to develop tools and frameworks that monitor system health, detect hardware failures, and accelerate root-cause analysis across AI clusters.
Responsibilities and Duties
Design and develop automated hardware diagnostics solutions for blade-level servers and rack-scale AI systems. Architect and implement diagnostic agents, monitoring tools, and analytics frameworks to track hardware telemetry. Collaborate with hardware teams to integrate low-level diagnostic modules into monitoring systems. Develop diagnostics tools capable of detecting hardware health conditions and isolating failures. Create diagnostic modules used for internal validation and production data center operations. Provide detailed hardware fault information to system engineers to accelerate troubleshooting. Define remediation workflows and insights for hardware fault scenarios across nodes and clusters. Collaborate with firmware, networking, and cloud platform teams to integrate diagnostics across the system stack.
Candidate Profile
Essential
Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related discipline. Strong software engineering experience in Python, C++, or C#. Experience developing diagnostics or monitoring systems for hardware platforms. Experience working with distributed systems or cloud infrastructure. Strong knowledge of Linux environments and system-level diagnostics tools. Experience collaborating with CM/ODM partners on manufacturing diagnostics and fault isolation. Strong analytical and debugging skills. Excellent communication and collaboration abilities.
Desirable
Experience working with AI hardware platforms or accelerator-based computing systems. Familiarity with hyperscale data center infrastructure. Experience building cluster-level monitoring or diagnostics systems. Experience interacting with internal or external customers during diagnostics solution development.
  • Austin, Texas, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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