Aerospace Manufacturing Engineer, Amazon Leo
Amazon is hiring an Aerospace Manufacturing Engineer, Amazon Leo in Kirkland, United States. It pays $117k-$160k 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.
- The posting mentions ERP, aerospace manufacturing and lean manufacturing among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Design and commission manufacturing tools and processes for aerospace flight hardware within Amazon Leo.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
Design, fabricate, and commission manufacturing tools and processes for aerospace flight hardware production
Lead structured problem-solving initiatives using root cause analysis methodologies (5 Whys, Fishbone Diagrams, 8D) to identify and resolve manufacturing defects and non-conformances
Implement lean manufacturing tools and techniques including Value Stream Mapping, Kaizen events, 5S, and waste elimination to optimize production processes
Lead team/product design, schedule, and prioritization discussions
Serve as the main point of contact supporting supplier production teams on schedule, design, qualification, and launch activities
Define operation steps and sequencing within ERP tools, collaborating with design and quality engineers to ensure conforming product and traceability requirements
Conduct cycle time analysis and implement process improvements to reduce manufacturing cycle time and improve labor efficiency
Ensure end-to-end production readiness and provide line-side support for manufacturing lines
Define best practices for handling mechanical hardware, sensitive electronics, and electrical components
Use Statistical Process Control (SPC) and quality data analysis tools to detect processes going out of control and implement corrective actions
Present proposals and data analysis to leadership demonstrating requirements will be met
Drive initiatives involving engineering peers and internal partners such as production managers and advanced production coordinators
Create and execute improvement plans to address quality excursions using structured problem-solving methodologies
A day in the life
Your responsibilities will include identifying and resolving assembly issues to keep builds on schedule, as well as driving efficiency improvements through tooling, automation, and design or process changes. You will collaborate closely with design, tooling, dynamics, thermal, test and electrical engineering teams to achieve these objectives.
30% on the shop floor, working with production teams to implement new processes, review & solve key technical blockers in production, performing production development testing, etc.
40% independent development work analyzing production and test data to identify and implement key production improvement actions, acting on quality escapes by developing and implementing new quality control measures, developing & executing to existing roadmaps for capacity increase, process simplification, etc.
30% meeting settings, collaborating with others on topics such as new design introductions, production process change management, production solution finding reviews, etc.
About the team
We are a fast-paced, data-driven team working with leaders in multiple technology areas to deliver the best product for our customers. We hold each other to relentlessly high standards, and constantly look for ways to improve the product’s performance, quality and cost. We are motivated by technical challenges and want individuals who are excited for the fast pace of production.
Basic qualifications
- Experience with test plan development, building the necessary test bench infrastructure, developing tests and verifying the design
- Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or an equivalent field
- 4+ years of hardware development, test lab, space/aerospace maintenance or hands-on engineering environment experience
Preferred qualifications
- Lean Six Sigma Green Belt or Black Belt certification
- Experience participating in daily Kaizen events to identify and implement process improvement change initiatives
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, WA, Kirkland - 117,300.00 - 160,000.00 USD annually
How we rate this
Aerospace Manufacturing Engineer, Amazon Leo at Amazon rates 0 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where aerospace manufacturing was part of your work. What did you do?
- Tell me about a project where lean manufacturing was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where statistical process control was part of your work. What did you do?
- Walk me through how you've used ERP in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Aerospace Manufacturing, Lean Manufacturing, Root Cause Analysis, Statistical Process Control, and ERP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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