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Manufacturing Research Engineer

Job in Redmond, King County, Washington, 98052, USA
Listing for: Meta
Full Time position
Listed on 2026-10-16
Job specializations:
  • Engineering
    Manufacturing Engineer, Process Engineer, Mechanical Engineer
Salary/Wage Range or Industry Benchmark: 173000 - 245000 USD Yearly USD 173000.00 245000.00 YEAR
Job Description & How to Apply Below
Summary:

As a Manufacturing Engineer in Reality Labs Research, you will develop novel manufacturing processes — spanning research-stage components and materials through complex, fully integrated devices — and advance them from early feasibility and proof-of-concept through process qualification and pilot production, delivering reliable, high-performing hardware prototypes. The development of state-of-the-art prototypes will require the intersection of novel materials, manufacturing processes, mechanical, electrical, and software fields.

You will bring experience with a wide variety of manufacturing processes and demonstrated experience of leading cross-functional engineering efforts to rapidly develop and scale technologies from low to high volumes. More broadly, you will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.

Manufacturing Research Engineer Responsibilities:
  • 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
  • Grow in-house manufacturing capabilities and manage external manufacturing partnerships
  • 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
  • Minimum Qualifications:
  • 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
  • Preferred Qualifications:
  • 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 with CAD, such as NX or related programs
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Public Compensation:

    $173,000/year to $245,000/year +…

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