制造研究工程师

Lead manufacturing development activities across cross-functional teams to deliver reliable, high-performing hardware prototypes

Provide design-for-manufacturability, assembly, and test feedback to research scientists and engineers to improve the manufacturing feasibility of novel technologies

Set manufacturing technical direction across multiple concurrent research programs, defining and executing the process maturation path that scales state-of-the-art components and prototypes from early feasibility to pilot-production volumes

Raise the bar for manufacturing excellence and best practices by developing, and continuously improving, processes and relationships which empower researchers and design engineers to build increasingly complex systems

Bachelor's degree in Manufacturing Engineering, Process Engineering, Mechanical Engineering, other relevant field, or equivalent experience

8+ years of experience scaling hardware technologies from early-stage feasibility to pilot-production or mass manufacture

Experience developing high-volume consumer products with stringent size, weight, power, and cost constraints in wearables, robotics, or similar

Experience designing and implementing process development plans, design of experiments (DOE), critical process parameters, and quality control strategies

Experience defining hardware build and supply chain plans, and managing external manufacturing vendors to meet program schedule and quality requirements

Experience with any combination of manufacturing techniques, such as electro-mechanical integration, coatings, laminating, active optical alignment, molding, machining, additive manufacturing, and adhesive bonding

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Master's degree in Manufacturing Engineering, Process Engineering, Mechanical Engineering, or other relevant field

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience establishing in-house prototyping or pilot-line capability, including equipment selection, installation, process qualification, and capacity planning

Experience developing processes for novel or unproven materials, including material characterization and process-window definition

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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.

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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.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

If you need assistance or an accommodation due to a disability, fill out the Accommodations request form Notice regarding automated employment decision tools in New York City Learn more about this here.

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8+ years of experience scaling hardware technologies from early-stage feasibility to pilot-production or mass manufacture.