Senior Data Engineer - EDA Datacenter Analytics and Observability
Core
Build and evolve analytics-ready data platforms that power observability, reliability analysis, and capacity forecasting for EDA datacenters by transforming large-scale telemetry data into trusted datasets.
Role type
Senior IC data engineer (infrastructure observability)
Builds
Unified analytical datasets for global CPU and GPU compute clusters
Domain
Semiconductor hardware infrastructure / Datacenter operations
Deliverable
production ML models
Required skills
Python, SQL, distributed data processing (Spark), data modeling, data quality frameworks, batch and streaming workflows, time-series data handling
Preferred skills
EDA workflows, HPC environments, GPU-accelerated compute platforms, observability stacks (Prometheus, Grafana, Elastic/OpenSearch, Kafka)
Responsibilities
Design and maintain analytics-focused data pipelines; Develop ingestion pipelines for metrics, logs, traces, and hardware health telemetry; Model and organize data for exploratory analysis and forecasting; Implement data quality checks and monitoring; Define data retention and aggregation strategies; Enable self-service analytics by improving data discoverability
Seniority
Senior, hands-on IC
