Staff Data Science Engineer - Hardware & Silicon Validation
Core
Build scalable data pipelines and apply machine learning to analyze large volumes of DSP validation and test data for high-speed optical interconnects and transceivers.
Role type
Staff Data Science Engineer (Hardware Validation)
Builds
End-to-end data platforms (ingestion, analytics, visualization) for hardware validation teams
Domain
Semiconductor / High-speed connectivity systems (DSP/PHY)
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python (pandas, numpy, scikit-learn), statistical modeling, data visualization (Tableau/Power BI), large-scale data processing, feature engineering, SQL
Preferred skills
Cloud platforms (AWS, Snowflake, Databricks), ETL/streaming pipeline development, time-series analysis, anomaly detection, signal processing
Technologies
Python, pandas, numpy, matplotlib, seaborn, scikit-learn, Tableau, Power BI, Superset, AWS, Snowflake, Databricks, SQL, PostgreSQL
Responsibilities
Design and develop scalable data pipelines for DSP validation data; Apply statistical analysis and ML to detect anomalies and support root-cause analysis; Develop intuitive dashboards for validation engineers; Leverage cloud technologies for large-scale dataset processing; Build tools and workflows to reduce manual debugging effort
Seniority
Staff, hands-on IC with strategic impact
