Supplier Quality Engineer

Posted One Month Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
Support supplier quality by using AI-enabled tools and dashboards for predictive risk assessment, audits, data analysis, root cause/CAPA, and supplier corrective actions. Ensure AI governance, validate insights, escalate issues, and collaborate with suppliers and internal teams to drive continuous quality improvements.
Summary Generated by Built In
Supplier Quality Engineer

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

Summary:
Support supplier quality management by leveraging AI tools for predictive risk assessment, conducting audits, analyzing performance data, and driving continuous improvement initiatives. Collaborate across teams to ensure supplier compliance, resolve issues, and enhance product quality.

Key Responsibilities:

  • Develop and implement quality requirements, integrating AI-enabled practices.
  • Conduct supplier audits and evaluate manufacturing and quality systems.
  • Analyze quality data and AI-generated insights to identify risks and trends.
  • Lead root cause analysis, CAPA, and issue escalation processes.
  • Use AI dashboards and models to generate and validate predictive insights.
  • Convert AI insights into actionable supplier quality improvements and strategies.
  • Ensure AI governance and data integrity in decision-making.
  • Communicate findings and collaborate with suppliers and internal teams for quality improvement.

Qualifications:

  • Bachelor’s degree in Engineering, Data Analytics, or related field.
  • 2-4 years of experience in quality, supplier quality, or manufacturing roles.
  • Familiarity with dashboards, statistical analysis, QMS, and AI tools preferred.
  • Basic understanding of AI governance and predictive analytics is advantageous.

Skills:

  • Data analysis and problem solving; trend and risk identification.
  • Use of AI tools and dashboards for quality decision-making.
  • Ability to validate AI insights and translate into supplier actions.
  • Cross-functional collaboration and effective communication skills.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#operations

Job:

Engineering

Job Level:

TCP_02

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Skills Required

  • Bachelor's degree in Engineering, Data Analytics, or related field.
  • 2-4 years of experience in quality, supplier quality, or manufacturing roles.
  • Familiarity with dashboards, statistical analysis, and Quality Management Systems (QMS).
  • Experience using AI tools and AI dashboards for quality decision-making.
  • Basic understanding of AI governance and predictive analytics.
  • Data analysis, problem solving, trend and risk identification skills.
  • Ability to validate AI-generated insights and translate them into supplier actions.
  • Cross-functional collaboration and effective communication skills.

Hewlett Packard Enterprise Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hewlett Packard Enterprise and has not been reviewed or approved by Hewlett Packard Enterprise.

  • Parental & Family Support Parental leave provides six months of fully paid time for all parents and includes options to return part-time for up to 36 months. Additional supports like backup childcare, fertility and adoption assistance reinforce a family-friendly package.
  • Wellbeing & Lifestyle Benefits Wellness Fridays offer paid early-finish time each month alongside resources such as on-site gyms, mental health tools, and paid volunteer time. These programs emphasize balance and personal well-being.
  • Retirement Support Retirement programs include a 401(k) with a 100% match on the first 4% of base salary and an Employee Stock Purchase Program. Retirement Transition Support enables part-time work for employees nearing retirement.

Hewlett Packard Enterprise Insights

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The Company
HQ: Houston, TX
85,422 Employees
Year Founded: 2015

What We Do

In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.

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