One Thing
Semiconductor
ProductEngineer(AdvanceDataAnalytics),HeterogeneousIntegrationGroup(HIG),HighBandwidthMemory(HBM)ProductEngineering
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering at One Thing. Skills: Data Analytics, Machine Learning, AI. Develop product-disposition solutions. Validate product-disposition solutions”
What You'll Achieve.
Ensure quality; Reduce DPM; Enhance KPIs
Industry & Context.
Address business problems; Address engineering problems
Work on site, International travel
What They're Looking For.
Must Have
Bachelor's or Master's degree, 3+ years data analytics/science, JMP proficiency, Tableau proficiency, Power BI proficiency, Leadership skills, Technical skills, Data analytics understanding, Data extraction understanding, Analysis tools understanding, Collaborative work experience, Mentoring experience
Nice to Have
Micron Product Engineering experience, Semiconductor industry experience, PhD preferred
What You'll Do.
Develop product-disposition solutions
Validate product-disposition solutions
Deploy product-disposition solutions
Integrate improvements within Dispo workflow
Create deviation alert system
Monitor characteristic trends
Monitor parameter trends
Monitor wafer shading
Develop Machine Learning models
Develop Deep Learning models
Advance pattern recognition
Collaborate with cross-functional teams
Validate AI/ML models
How You'll Work.
Team & Collaboration
Cross-functional teams; Fab teams; HBM Technology Development; HBM Design teams; System Development teams; Quality/Reliability teams
Communication Scope
Present findings; Present insights
Full Job Description
**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Key Responsibilities** * **Product Disposition Solutions:** Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow. * **Data Analysis for Yield Improvement and Reliability** : Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow. * **Deviation Alert System:** Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading. * **Models/Algorithm Development** : Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement. * **Mentorship and Development:** Actively mentor and develop team members to foster growth and development within the team and the organization. * **Cross-Functional Collaboration:** Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products. * **Promotion of Innovation:** Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge
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