Data Analytics / LLM / AI / SQL Engineer
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Role details
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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., * 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
Requirements
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., * 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
Benefits & conditions
- An employeeās pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
- The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
- If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
- You will be eligible to be considered for bonuses under either WDās Short Term Incentive Plan (āSTI Planā) or the Sales Incentive Plan (āSIPā) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WDās Standard Terms and Conditions for Restricted Stock Unit Awards.
- We offer a comprehensive package of benefits including 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; and the WD Savings 401(k) Plan.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Companyās sole discretion unless and until paid and may be modified at the Companyās sole discretion, consistent with the law.
About the company
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. Thatās 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 isnāt theoretical work. Itās real systems, at real scale, people solving some of the hardest challenges in technology today.
Weāre looking for people who want to build, solve, and operate at that level.
Join us and letās shape the future of data., WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a personās gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the personās assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the āKnow Your Rights: Workplace Discrimination is Illegalā poster. Our pay transparency policy is available HERE.
WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
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