Customer Failure Analysis Engineer
About The Position
WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data. 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.
Requirements
- 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.
Nice To Haves
- Prior industry experience a plus
- Experience with Apache Superset, Devin, Power BI is a plus
Responsibilities
- 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.
- Effectively communicate results and status with management and team members and help resolve project challenges.
Benefits
- paid vacation time
- paid sick leave
- medical/dental/vision insurance
- life, accident and disability insurance
- tax-advantaged flexible spending and health savings accounts
- employee assistance program
- other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
- tuition reimbursement
- transit
- the Applause Program
- employee stock purchase plan
- the WD Savings 401(k) Plan
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
