Field Reliability Engineer

Cerebras Systems(1 month ago)

HybridFull TimeSenior$150,000 - $250,000Reliability Engineering

About this role

This role owns fleet-scale reliability for Cerebras datacenter compute hardware, using data analytics and reliability statistics to diagnose complex field failures and inform design and operational decisions. The engineer will conduct root-cause investigations, build failure-forecast and warranty models, and partner across hardware, software, operations, and supply chain teams to drive continuous reliability improvements. The position emphasizes translating large-scale telemetry and statistical insights into actionable guidance for engineering and executive stakeholders.

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Required Skills

Reliability Statistics
Weibull Analysis
Survival Modeling
Root Cause
Data Analysis
Telemetry Analysis
Statistical Modeling
Reliability Forecasting
Warranty Modeling
Stress Analysis

+7 more

Qualifications

Bachelor’s Degree in Electrical Engineering, Materials Science, Mechanical Engineering, or Related Field

About Cerebras Systems

cerebras.ai

Cerebras builds purpose‑built AI compute systems centered on its wafer‑scale processors to accelerate training and inference of large neural networks. Their integrated hardware‑and‑software platform delivers high throughput, low latency, and very large on‑chip memory/interconnect to shorten time‑to‑train for demanding AI workloads. Cerebras targets research labs and enterprises that need to scale experiments and deploy large models more quickly, pairing systems, tooling, and support to simplify large‑model development.