Data Science Engineer For High Speed I/O Validation

Job Description
The AI market is expanding rapidly, demanding higher I/O performance and complex system topology cases. Our DCGPU (Data Center GPU) products demand higher levels of quality and reliability in production.
We are searching for a Data Science Engineer to help implement and drive our volume data strategy and integration into validation flows. This includes data collection and predictive modelling of quality metrics in manufacturing for high speed SerDes I/O like PCIe 5/6.
Required experience:
4 to 5 years experience in developing test automation solutions as an Automation Engineer
Experience in developing high-availability, low-latency enterprise solutions as a Data Science/Engineering subject matter expert
Knowledge of data modelling and data warehouse/lake best practices (SQL, Snowflake)
Experience with data analytics, visualizations, and report generation (Power Bi, JMP)
Experience building statistical predictive models factoring multiple sources of variation in chip and system manufacturing
Experience writing performant code in Python, Java, Scala and good experience with Spark
Enforcing and applying best practices for modular code development including 3rd party tool integration
Experience with SerDes PHY or High Speed I/O Validation at PCIe
Linux power user
Education :
Bachelor s or master s degree in computer engineering, Electrical Engineering, or Computer Science