Hardware Analytics Engineer

What this role involves

Cerebras Systems is hiring a Hardware Analytics Engineer to design and optimize data pipelines for hardware telemetry, perform reliability analytics, and support performance optimization. The role requires a Master's degree and 3 years of experience, with skills in Python, SQL, Spark, and machine learning. The position involves collaborating with cross-functional teams to troubleshoot hardware failures and improve AI platform efficiency.

Skills this posting asks for

• python
• sql
• tableau
• hive
• spark
• linux
• etl
• data pipeline architecture
• distributed data processing
• dashboard development
• machine learning
• predictive modeling
• statistical analysis
• a/b testing
• anomaly detection
• data visualization
• hardware analytics
• power optimization
• thermal optimization
• gpu burn-in
• reliability modeling
• cpu
• gpu
• dram

Requirements

• 3 years of experience
• Level: mid

From the employer’s posting

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transf…