Sr Process Engineer, Continuous Improvement, Amazon Leo

Amazon.com, Inc.•Redmond, WA

35d

About The Position

Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. This key role will be focused on improving Amazon Leo's high rate Satellite production through continuous improvement strategies. In this role, you will be a senior member of the team that will drive improvements in a variety of areas such as manufacturing, testing, supply chain and/or fulfillment processes. To deliver these complex solutions, you will partner with peers across all Amazon Leo's teams, including hardware, software, manufacturing, quality, launch, test etc. Candidate superpowers should include earn trust, ownership, insist on high standards, continuous improvement, stakeholder management, innovation and simplification. The role is based in Redmond, WA

Requirements

Experience working with interdisciplinary teams to execute product design from concept to production
Bachelor's degree in robotics, mechanical/mechatronics engineering, systems engineering or related field
Lean Six Sigma Green Belt or Black Belt certification
6+ years experience in manufacturing, test, or supply chain environment with demonstrated track record in Lean Six Sigma projects.
Experience in high-mix, high-precision or electronics/aerospace assembly at high volumes.
Strong problem-solver, analytical thinker, and effective communicator across both shop-floor presence and executive leadership. Able to influence cross-functional teams without direct authority.

Nice To Haves

Master's degree in electrical engineering, computer engineering, or equivalent
Experience with the project management of technical projects
Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
Experience in a fast-paced, high-tech company, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround
Skilled in Python, SQL, and Power BI/Tableau for data extraction and visualization. Familiar with Minitab, JMP, or equivalent for statistical analysis. Experience pulling data from MES/ERP/test systems.
Familiarity with AI/ML techniques applied to manufacturing (predictive maintenance, anomaly detection, process mining).
Knowledge of enterprise resource planning (ERP) and manufacturing execution system (MES) software.

Responsibilities

Driving a large continuous improvement portfolio of impactful projects
Lead complex DMAIC or Lean Six Sigma projects from define to control phase, targeting measurable business outcomes (throughput, cost, yield, OEE).
Quantify business impact of improvement opportunities and present data-backed recommendations to leadership.
Partner with manufacturing and test engineers to implement process controls, design experiments, and reduce variation.
Develop and document standard work, control plans, and process capability metrics (Cpk, OEE, FPY).
Autonomously own deep dives to root cause a specific process or area (product engineering).
Assess the effectiveness of all operational activities on site using specific analytical tools (eg. Kaizen, Six Sigma, DMAIC, VSM, statistical studies, etc.) to generate proposals for waste-reduction, bottle neck reductions and corrective actions.
Apply advanced statistical methods - regression, ANOVA, DOE, and SPC - to verify root causes and validate solutions.
Embody Amazon's Leadership Principles to achieve operational excellence and drive transformative change
Enhance operational efficiency and foster a culture of continuous improvement. Mentor and develop junior engineers.