AI Hardware Reliability Architect

Cerebras; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Graphcore in Austin, TX is seeking a Senior Reliability Scientist to lead reliability activities across high‑performance AI hardware. You will partner with research and design teams to translate data into robust, scalable product decisions and drive spares provisioning and serviceability strategies.

You will design experiments, analyze MTBF/MTTR data, apply physics‑of‑failure methods, and lead root‑cause investigations, helping shape reliability tools and standards across the organisation.

Qualifications

• Strong background in reliability engineering within semiconductor, hardware or complex systems environments.
• Experience with physics‑of‑failure approaches in high‑performance computing, AI hardware or related domains.
• Experience with reliability modelling, experimental design and statistical data analysis.
• Proven ability to work with and interpret experimental reliability data to drive engineering decisions.
• Experience with key reliability metrics such as MTBF, MTTR, RAS and failure rate analysis.
• Ability to operate effectively in cross‑functional environments with multiple stakeholders.
• Strong problem‑solving skills with the ability to lead technically challenging investigations independently.
• Excellent communication skills, with the ability to influence design and operations teams using data‑driven insights.

Responsibilities

• Define and refine reliability requirements across silicon, board and system levels, working in partnership with research and design teams.
• Apply advanced reliability methodologies to highly innovative systems, including challenges associated with liquid‑cooled architectures and fluid dynamics.
• Design and execute experiments to generate high‑quality reliability and performance data, ensuring statistical rigour and relevance.
• Analyse experimental, field and manufacturing data to quantify reliability metrics such as MTBF, MTTR, RAS characteristics and soft error rates (SER).
• Use data‑driven insights to inform product design trade‑offs, reliability targets and spares provisioning strategies.
• Collaborate with chip, board and system design teams to influence architecture and component selection based on reliability considerations.
• Support development of system‑level reliability models incorporating thermal, mechanical and fluid behaviour.
• Lead complex root cause investigations into reliability issues, driving corrective and preventative actions across teams.
• Contribute to the evolution of reliability tools, processes and best practices within the organisation.
• Communicate complex reliability concepts, risks and recommendations clearly to a wide range of stakeholders.

Job description

Graphcore in Austin, TX is seeking a Senior Reliability Scientist to lead reliability activities across high‑performance AI hardware. You will partner with research and design teams to translate data into robust, scalable product decisions and drive spares provisioning and serviceability strategies.

You will design experiments, analyze MTBF/MTTR data, apply physics‑of‑failure methods, and lead root‑cause investigations, helping shape reliability tools and standards across the organisation.