NVIDIA
Senior Data Engineer - EDA Datacenter Analytics and Observability
$184K–$356K
US, CA, Santa Clara +3 · Senior · Full-time · Posted Oct 23, 2026
- Location
- US, CA, Santa Clara
US, MA, Westford
US, TX, Austin
US, OR, Hillsboro - Experience
- At least 10+ years.
- Education
- MS (preferred) or BS in Computer Science (or equivalent experience) or a related field.
About the job
Build and operate data platforms and pipelines that turn EDA datacenter telemetry into trusted datasets for observability, reliability analysis, and capacity forecasting.
What you'll do
- Build ingestion, batch, and streaming pipelines for datacenter metrics, logs, traces, and hardware telemetry.
- Model and optimize datasets for analysis, reliability modeling, forecasting, and historical trends; implement data quality checks and monitoring.
- Improve data discoverability and collaborate with observability, infrastructure, and data science teams on analytical needs.
What they ask for
- At least 10+ years designing, building, and operating large-scale data pipelines and data platforms for distributed systems or infrastructure data.
- Proficiency in Python and SQL.
- Hands-on experience with distributed data processing frameworks such as Spark or similar technologies.
- Experience with observability and telemetry data, data modeling, and data quality, validation, and monitoring.
Nice to have
- Experience in datacenter analytics, hardware reliability, workload performance, EDA, HPC, or GPU-accelerated compute.
- Familiarity with observability stacks such as Prometheus, Grafana, Elastic/OpenSearch, Kafka, or Spark.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Python, SQL, Spark, Prometheus, Grafana, Elastic/OpenSearch, Kafka
Model-written summary · the original posting is authoritative