Principal Hardware Diagnostics Engineer
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Job Location:
Milpitas, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
About us
Graphcoreis one of the worlds leading innovators in Artificial Intelligencecompute. 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 GroupGraphcoreis a member of an elite family of companies responsible for some of the worlds most transformative technologies. Together they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcoresteams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists silicon designers softwareengineersand systems architectsGraphcoreenjoys 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 tomonitorhardware health and diagnose system-level issues acrossGraphcoresAI infrastructure platforms.
This role focuses on building diagnostics agents tools and analytics frameworks that enable engineers and automation systems toidentify isolate and resolve hardware issues across blade-level servers and rack-scale clusters.
The Team
Graphcoreis a globallyrecognisedleader in Artificial Intelligence computing systems. The company designs advanced semiconductors and datacentrehardware that provide thespecialisedprocessing power needed to drive AI innovation while delivering the efficiency required to support its broader adoption.
The Systems Engineering and Platform Validation team ensuresGraphcoresAI 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 thatmonitorsystem 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 andproductiondata 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
- Bachelors Masters or PhD in Computer Science Computer Engineering or related discipline.
- Strong software engineering experience in Python C or C#.
- Experience developing diagnostics ormonitoringsystems 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 ordiagnosticssystems.
- Experience interacting with internal or external customers duringdiagnosticssolution development.
Required Experience:
Staff IC
