Overview
Skills
Job Details
Title: Data Science Engineer - High Speed I/O Validation - Onsite
Mandatory skills:
Data Science, Data Engineering,
Automation, Test Automation,
SQL, Snowflake, PowerBI, JMP,
Python, Java, Scala, Spark,
data modelling, data warehouse, data lake, data analytics, data visualizations,
data strategy, data collection, data characterization, data integration,
SerDes, SerDes I/O, SerDes PHY, High Speed I/O Validation, PCIe, Linux power user, Data Center GPU,
chip manufacturing, system manufacturing, performance metrics, statistical models, quality metrics, tool integration,
database solutions, storage and analysis, system topology case, report generation, predictive models, code development
Description:
THE ROLE:
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.
THE PERSON:
You will be a part of a team driving to improve client's product quality. You will be applying your Data Science and Automation experience to tackle challenging volume validation, manufacturing, and issue debug problems.
KEY RESPONSIBILITIES:
Implement automation and data strategy with validation technical leads and data architects to reduce time to market and time to quality
Develop Python automation scripts for performance metrics data collection and characterization
Deliver robust data analytics solutions for visualization, results reporting, and building predictive statistical models
Develop database solutions to support storage and analysis of test results from validation and manufacturing
IDEAL CANDIDATE:
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 (PowerBI, 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
ACADEMIC CREDENTIALS:
Bachelors or Master s degree in Computer Engineering, Electrical Engineering, or Computer Science
VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.
Contact Details :
VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008