Westborough, MA, US
8 hours ago
Sr. Product Quality Engineer, Amazon Robotics
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply innovation in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent and deliver improvements every day. We will give you the tools and assistance you need to invent with us in ways that are rewarding, fulfilling and fun.

The Amazon Robotics (AR) Global Operations organization manufactures high-quality robotics for design centers across Amazon. It’s a fast-paced operation that works cross-functionally with teams across Amazon globally. The Product Quality Engineering (PQE) team is a multi-disciplinary organization that does Quality Engineering and Quality Systems Management across AR’s Global Enterprise. This position will report to Quality Engineering Manager.

We are actively seeking a talented and motivated engineer with a proven track record of implementing Quality Engineering principles in NPI and sustaining products. You will be working with cross-functional teams that engage in product development for both internal and external manufacturing operations.


Key job responsibilities
Actively foster a culture of inclusion.

* Engaging in internal and external business partners to deliver key artifacts such as (DFMEA, PFMEA), DFX, New Unique and Different (NUD) and MAP.
* Embed with Hardware, Manufacturing, and Test Engineers in defining success criteria for early production builds in new programs.
* Represent quality and report status and risk mitigation in NPI Program Reviews.
* Partner with peer teams such as Manufacturing, Supply Chain, Supplier Quality and Test Engineering to drive data-driven risk mitigation/strategy.
* Reporting in program reviews and top-level quality performance reviews/dashboards.

Responsible for:

* Defining NPI quality deliverables and deliver in collaboration with stakeholders in Supply Chain, Hardware Engineering, Manufacturing, Deployment, and Global Support Services
* Participating in NPI phase gate reviews to ensure quality requirements are met
* Data analysis, trending and monitoring of KPIs from manufacturing and field quality events.
* Defining APQP/PPAP strategies, review and approve related documents (D/PFMEA, Control plan, FAI, Process capability studies etc)
* Conducting failure analysis, root cause investigations and implement corrective actions to improve product quality.
*Facilitate action plans to drive improvements across the product lifecycle
* Contribute to lessons learned and process improvements.

Up to 20% travel required.


A day in the life
Amazon offers a full range of benefits to assist you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Product Quality Engineering's (PQE)'s mission is to drive product quality excellence through innovative engineering solutions, leveraging proactive systems, seamless design integration and data-driven methodologies to drive total quality management across the entire product lifecycle ensuring superior customer satisfaction.
* Ensuring speed and quality through comprehensive product knowledge, systematic risk identification, root cause analysis, to enable successful deployments.
* Leverage data analytics to visualize quality metrics and drive customer-focused improvements
* Design for quality to consistently meet high manufacturing and deployment standards, even in speed-driven environments.
* Foster a culture of continuous improvement and operational excellence by implementing adaptive control plans across the product lifecycle—driving safety, quality, speed, and cost optimization.

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