One Thing

Semiconductor

ProductEngineer(AdvanceDataAnalytics),HeterogeneousIntegrationGroup(HIG),HighBandwidthMemory(HBM)ProductEngineering

S$95–145k ~AI est. Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Semiconductor
Problems you'll solve

Address business problems; Address engineering problems

Eligibility Requirements

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

Free ATS check

Applying for this Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about One Thing?

Real rants from real employees. Read before you apply.

Read Company Rants →