Manufacturing Test Engineering Intern

Meta; Sunnyvale (CA); On-site; USD 75,000 - 133,000; Full time

Job summary

Meta Reality Labs in Sunnyvale, CA is offering a 12-week Manufacturing Test Engineering Intern role. You will learn end-to-end manufacturing test workflows, work with tester hardware/software, and help build AI-powered tools that automate repetitive tasks and analyze test data.

You will design data pipelines, implement anomaly detection, validate outputs on real test data, and present findings to cross-functional teams.

Qualifications

• Pursuing a Bachelor’s or Master’s in EE/CE/CS
• Proficiency in Python with scripting and data handling
• Experience with AI tools and AI-integrated applications
• Experience with data analysis (Pandas, SQL or equivalent) and drawing conclusions from noisy data

Responsibilities

• Learn MTE end-to-end workflows and identify automation opportunities.
• Design, build, and deploy AI tools and agents for testing.
• Build data pipelines and anomaly detection from test data.
• Validate outputs against real test data.
• Present findings and demos to cross-functional teams.

Skills

Python

Data analysis

AI tools

Pandas

SQL

Education

Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science

Tools

Git

SQL databases

Job description

Reality Labs builds wearable devices that make it easier for people to connect with the ones they love. These devices are manufactured and tested at scale in factories worldwide. The Manufacturing Test Engineering (MTE) team develops the test strategies, test systems, and test coverage that ensure every device we ship is functional and meets product requirements. We are looking for a Manufacturing Test Engineering Intern to learn how manufacturing tests work end-to-end, then help build AI tools and agents that make it more efficient and more reliable. Your work will focus on two outcomes: automating manual, repetitive steps in our workflow, and using data mining to help validate our work by proactively identifying risks of test failures and unusual behaviors. This is a hands-on build role, with the goal of delivering a working tool the team can use by the end of the internship. This is a 12-week internship.

Manufacturing Test Engineering Intern Responsibilities:

• Learn the MTE role and responsibilities end-to-end: supply chain test strategy, test coverage design and validation, tester hardware and software, bring-up and qualification, and continual improvement in mass production.
• Learn the MTE workflow end-to-end, from test requirements through test development to tester qualification, and identify where automation would have the most impact.
• Design, build, and deploy AI tools and agents, including prompt and agent design, tool and data integration, evaluation, and iteration based on engineer feedback.
• Build data pipelines and analysis on manufacturing test data, and develop anomaly detection that surfaces test risks and unusual behaviors early.
• Validate your tool's output against real test data
• manufacturing test results are quality-critical, so accuracy needs to be demonstrated, not assumed.
• Define what success looks like for your project (costs saved, test time reduced, risks caught earlier) and measure your results against it.
• Partner with cross-functional engineering teams and present your findings, demos, and recommendations to the team.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a Bachelors or Masters in Electrical Engineering, Computer Engineering, Computer Science or related field
• Proficiency in a programming language such as Python, including scripting and data handling
• Hands-on experience using AI tools, and experience building with AI such as agents, LLM-based automations, or AI-integrated applications
• Experience with data analysis (Pandas, SQL or equivalent) and drawing conclusions from noisy, real-world data

Preferred Qualifications:

• Experience in EE or computer engineering fundamentals, and coursework or project experience in hardware test, instrumentation, measurement, or embedded systems
• Exposure to manufacturing or quality engineering concepts: statistical process control, Cpk, GRR, yield and retest analysis, design of experiments
• Experience with agentic frameworks, retrieval-augmented generation, tool-calling architectures, or model evaluation
• Experience with anomaly detection, time-series analysis, or applied machine learning on engineering or sensor data

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and *Affirmative Action* employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$6,688/month to $11,880/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.