Customer Failure Analysis Engineer

Job description

Join our dynamic and collaborative team to help with WD failure analysis automation and data analytics in support of requests from our customers teams. As Data Analytics / LLM / AI / SQL Engineer in Failure Analysis Team, you will be responsible for helping define requirements and plans and own implementation of Data Analytics / LLM and AI/ SQL and dashboard projects. You will collaborate with local FA team and other teams to drive the progress of the projects.

These projects will create enhancements to the analytics and reporting dashboards, automate Electrical and Mechanical FA work and improve turn-around time of FA. You will review failure analysis report formats in the existing system and use them as reference for automating generation of FA reports. These reports are used to communicate key lab data and causes of failure to the customers, field application engineers, quality managers, manufacturing, or development teams.

You will use Data Analytics, SQL, Apache Superset, PowerBI, Devin, Dremio and Python to create dashboard improvements used by FA Teams.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The ML / LLM / AI Engineer in Failure Analysis will: Help define and document requirements for Data Analytics / LLM (Large Language Models) FA projects as well as helping implement it. Help Electrical and Mechanical lab Engineers automate their processes. Help with migration of visualizations from Spotfire to Apache Superset or Microsoft Power BI Use Machine Learning, SQL and Python to create FA dashboard improvements.

Collaborate with local FA team and other teams to drive the progress of these projects. Support any future additional Machine Learning / AI projects. Be FA Team resident expert and spokesperson for DA / LLM / AI / SQL / dashboard technical topics. You will effectively communicate results and status with management and team members and help resolve project challenges

Qualifications

REQUIRED Knowledge and experience with Data Analytics, Python, C++ and SQL Knowledge of LLM (Large Language Models)/AI BS/MS in Computer Science/Data Science or equivalent with Machine Learning coursework completed.

SKILLS

• Proven problem-solving skills Good interpersonal and teamwork skills Leadership skills Effective at multi-tasking, organization and time management Self-motivated and responsible
• Demonstrates patience, confidence, and composure
• Strong written and verbal communication skills Experience: Prior industry experience a plus Experience with Apache Superset, Devin, Power BI is a plus