Operations Engineer, Mechatronics Technical Trainer, Material Handling Equipment Systems, OneMHS
Amazon is hiring an Operations Engineer, Mechatronics Technical Trainer, Material Handling Equipment Systems, OneMHS. It pays $77k-$115k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
You will combine classroom and field-based instruction with video production and digital learning development, translating complex installation procedures into clear, scalable content. Working closely with Mechanical Integration Leads (MILs), Electrical Installation Leads (EILs), and field execution teams, you will capture real-world scenarios and turn them into training that reflects how systems actually come together on site. This is a rare opportunity to join a newer organization where your contributions will directly shape the standards, processes, and culture of the team.
Key job responsibilities
- Design and deliver hands-on and classroom-based technical training across mechanical, electrical, and controls disciplines for MHE installation crews, field technicians, and integration leads — covering topics from structural steel placement and conveyor alignment through power distribution, device commissioning, and quality control procedures.
- Record, edit, and produce professional training videos and digital learning modules using industry-standard tools, building out the organization's training library with content grounded in real field scenarios and best practices.
- Collaborate with MILs, EILs, controls engineers, and field execution teams to identify training gaps, validate technical accuracy, and align training schedules with site deployment timelines so crews are prepared ahead of mobilization.
- Partner with the Technical Training Lead to prioritize content development based on deployment schedules, incident reports, and field feedback — driving continuous improvement of training effectiveness and operational readiness.
- Define and track success metrics for training programs, including completion rates and competency progression, while developing Standard Work Instructions and installation standard operating procedures to support consistent execution across sites.
A day in the life
Your morning might start in a training room walking technicians through conveyor mechanical alignment using hands-on demonstrations and e-learning pre-work you built. After the session, you head to the installation floor to record conduit installation and wire termination procedures for a new training video. In the afternoon, you are editing footage into a polished module or building an online course complete with annotated field photos and scenario-based exercises. You close out by syncing with your Training Lead on upcoming site visits and flagging a training gap surfaced by a recent incident report.
About the team
We are a newer organization within Amazon's Installation and Deployment team, focused on building the training function that will support MHE installation across a rapidly scaling fulfillment network. Our mission is to ensure every field crew has the knowledge and confidence to execute safely and efficiently. As we grow, you will have the opportunity to shape processes, define standards, and take on broader responsibilities in an environment where your ideas carry real weight. We work cross-functionally with engineering, operations, and field execution teams, and we are looking for collaborative, self-starting team members who are excited to build something new.
Basic qualifications
- Bachelor's degree, or 3+ years of industrial maintenance experience
- Experience in the mechanical or controls field, or experience working with electrical and mechanical conveyance systems
- Knowledge of video production crews, live streaming technologies, studio workflows, edit and post- production techniques, production calendars and staffing
- Experience with eLearning authoring tools and other design programs including: Storyline/Rise 360, Vyond, Adobe Creative Suite, and Camtasia
- Experience reading and writing procedures, technical documents, and engineering drawings, or experience in electrical or mechanical engineering
- Experience developing and delivering training programs, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Knowledge of Photoshop, video editing, and related tools
- 2+ years of maintenance or engineering experience
- Associate's degree in a technical field, or 3+ years of Amazon RME (Reliability Maintenance Engineering) BB/3P Full Time Exempt experience
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Experience in reliability/maintenance environments, or experience in material handling equipment (MHE) or automation environments
- Experience in similar environments, or experience leading cross-functional teams across engineering, operations, and field execution through launch readiness and go-live phases
- • Ability to travel up to 50% domestically; travel may exceed 50% in some instances with short notice
Preferred qualifications
- 1+ years of automated conveyor systems and controls, or 1+ years of troubleshooting and diagnostics of material handling or production equipment experience
- Experience with Industrial control systems, both hardware and software
- Experience working with Material handling equipment (MHE), or experience with retrofits, launches, or automation deployments
- 5+ years of developing electrical schematics using AutoCAD Electrical (2010 or newer) experience, or Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent
- Experience with Learning Management Systems (LMS), or experience with graphic training systems
- Experience with adult learning instructional design methods and best practices
- Bachelor's degree, or experience with Lean or Six Sigma analytical techniques
- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent
- • Knowledge of NEC/NFPA codes and industrial safety standards
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, GA, Atlanta - 76,600.00 - 114,900.00 USD annually
USA, OH, SPRINGDALE - 76,600.00 - 114,900.00 USD annually
USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually
USA, TX, Austin - 76,600.00 - 114,900.00 USD annually
USA, WA, Bellevue - 82,700.00 - 114,900.00 USD annually
How we rate this
Operations Engineer, Mechatronics Technical Trainer, Material Handling Equipment Systems, OneMHS at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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