Manufacturing Test Engr Intern, Advanced Manufacturing Engineering

Amazon is hiring a Manufacturing Test Engr Intern, Advanced Manufacturing Engineering in Hanoi, Vietnam. Level rates it ; you can apply on Level.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Python, C and Large Language Models.
Level files it as an internship.
Level lists 22,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Build manufacturing test systems integrating large language models and computer vision for hardware verification.

pythonclarge-language-modelscomputer-vision

computer-visionmanufacturing-testtest-automationdata-analysis

Amazon Lab126 is the research and development team behind Kindle, Fire TV, Echo, Echo Show, Ring and other Amazon devices. Within Lab126, the Advanced Manufacturing Engineering (AME) Manufacturing Test Engineering (MTE) team builds the test systems that verify every device before it reaches a customer. Our stations run on contract manufacturer lines across Asia and North America, and they decide what ships.
MTE is rebuilding factory test around data and AI. We generate test plans with large language models, inspect assemblies with computer vision, and stream every factory measurement into an analytics platform engineers query directly. An intern here works on that platform, not beside it.
You will join a live new product introduction program and own one scoped piece of the factory test solution, from concept through deployment on a production line.

Key job responsibilities
• Write and debug test software (Python, C/C++) for RF, audio, camera, sensor and power test stations
• Build fixtures and bench setups that prove out a new test method before it reaches the line
• Analyze production test data for yield loss, false failures and test time reduction, and quantify what your change recovers
• Run Gauge R&R, correlation and test limit studies for new stations
• Write the test plan your station ships with, and present your results to the team

A day in the life
You start the day with overnight yield and test time data from the factory, then debug a test script or fixture in the lab with your mentor. Afternoons go to a design review with hardware engineers, a DOE on a new sensor test, or a sync with our contract manufacturer team in Asia.
You get a named mentor, a weekly one on one with your manager, and a written project scope on day one. The term closes with a project presentation to AME leadership.

About the team
AME MTE is a global team across Sunnyvale, Shanghai, Shenzhen and Hanoi, and we own manufacturing test for the full Amazon Devices portfolio, from first prototype through mass production. Two positions define how we work: a failure that passes on retest is not fixed, and a number that cannot be recomputed is not evidence.

Basic qualifications

- Enrolled in a Bachelor's or Master's degree program in Electrical Engineering, Computer Engineering, Computer Science or a related field, with a graduation date after the internship term
- Completed coursework or project work in at least one of: electronics, signal processing, embedded systems, test and measurement
- Programming experience in Python, C#, C++ or MATLAB, and Git based development
- Available for a 12 week internship starting summer, 2027 in Hanoi, Vietnam

Preferred qualifications

- Test automation or instrument control.
- Able to read schematics and work with an oscilloscope, DMM and power supply
- Cpk, Gauge R&R and DOE, and data analysis with pandas, JMP or Minitab
- Exposure to RF, audio or camera test, or to embedded firmware development
- Prior internship, study or research experience in electrical, automation, communication or manufacturing

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.

How we rate this

Manufacturing Test Engr Intern, Advanced Manufacturing Engineering at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Open the description and count.

Key facts

Manufacturing Test Engr Intern, Advanced Manufacturing Engineering is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in VN, Hanoi.
The job was posted on October 14, 2026.
Seniority: intern.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionManufacturing TestTest AutomationData AnalysisPythonCLarge Language Models

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where manufacturing test was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer vision, Manufacturing Test, Test Automation, Data Analysis, and Python. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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