Senior Process Engineer – Automation & MHE

Amazon Inc.; Bellevue (WA); On-site; USD 120,000 - 162,000; Full time

Job summary

Amazon is seeking a Senior Process Engineer for the NA SSD Network within Sub Same Day Process Engineering. You will lead cross-functional programs to design, modify, and implement material handling and technology systems across facilities worldwide.

The role requires strong project management, a proven delivery record, and the ability to work in ambiguity. Travel 50-70% is expected as you drive continuous improvement, safety, and efficiency across processes using robotics, automation, and data

Qualifications

• Bachelor's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering.
• 5+ years of experience managing multiple large projects.
• 5+ years of experience with MHE or automation environments.
• Experience with automated or non-automated material handling equipment.
• Ability to work a flexible schedule including weekends, nights, and holidays.

Responsibilities

• Design and modify processes focusing on equipment and material flow.
• Ensure safety and quality, develop testing methods.
• Collaborate with stakeholders to improve safety and efficiency.
• Monitor process performance and analyze data.
• Research and implement new technologies to improve efficiency.

Skills

MHE/automation experience

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering

Master's degree in engineering or equivalent

Tools

AutoCAD

VBA

SQL

Job description

Amazon is seeking a Senior Process Engineer for the NA SSD Network within Sub Same Day Process Engineering. You will lead cross-functional programs to design, modify, and implement material handling and technology systems across facilities worldwide.

The role requires strong project management, a proven delivery record, and the ability to work in ambiguity. Travel 50-70% is expected as you drive continuous improvement, safety, and efficiency across processes using robotics, automation, and data