AI Hardware Reliability Engineer: Pod-Level RAS Telemetry

Intel; Santa Clara (CA); On-site; USD 122,000 - 232,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

On-site amenities

Job summary

Intel is seeking an experienced reliability engineer to define and own pod-level reliability specs across compute, memory, storage, network, power and cooling for AI hardware data centers.

You will lead FMEA, telemetry, and KPI tracking; collaborate with facilities on N+1 redundancy and disaster recovery, and apply Weibull/FIT reliability methods. AI cluster operations and data analytics are a plus.

Qualifications

• BS/MS/PhD in EE/ME Reliability or related; and/or at least 4-6 yrs experience.
• Experience authoring and owning reliability specs and requirement flow-down.
• Strong RAS, FMEA, statistical reliability (Weibull, FIT) skills.
• Experience with large-scale fleet telemetry and thermal/power redundancy.

Responsibilities

• Define and maintain pod-level reliability/availability specs and targets (MTBF, AFR, RAS) for compute, memory, storage, network, power, and cooling subsystems.
• Translate system/SLA requirements into pod and subsystem level reliability specs; flow requirements down to silicon, platform, and facilities teams.
• Lead FMEA, root-cause analysis, and pod fleet failure-data analytics to drive corrective actions and spec updates.
• Architect RAS features (ECC, memory mirroring, predictive failure, telemetry) and graceful degradation/redundancy against pod-level specs.
• Partner with facilities on pod power/cooling redundancy (N+1, 2N), thermal margins, and disaster-recovery readiness.
• Establish HALT/HASS, burn-in, qualification processes; track field returns and KPIs against pod spec.

Skills

AI cluster operations

Data analytics

Python

SQL

Education

BS/MS/PhD in EE/ME Reliability or related

Job description

Intel is seeking an experienced reliability engineer to define and own pod-level reliability specs across compute, memory, storage, network, power and cooling for AI hardware data centers.

You will lead FMEA, telemetry, and KPI tracking; collaborate with facilities on N+1 redundancy and disaster recovery, and apply Weibull/FIT reliability methods. AI cluster operations and data analytics are a plus.