Join Reality Labs and help define the next generation of Wearables and Mixed Reality experiences. Our team is pioneering advanced optical systems that seamlessly merge physical and digital worlds through cutting-edge wearable technology. As an Optical Engineering Intern on the Camera & Depth Sensors team, you will work alongside the optical engineers who design and productize the camera lenses, depth optics, cover windows, and light pipes at the heart of Meta's AR, VR, and AI Glasses products. You will own a focused technical project with a real deliverable on our roadmap — building optical models, quantifying design trade-offs, correlating simulation against measurement, and presenting your findings to the engineers who will carry the work forward. This is an opportunity to see how optical engineering decisions translate into shipping consumer hardware, at a scale and pace that is difficult to experience anywhere else. This is a 12-week internship.

Qualifications:

Coursework or project experience in geometrical and physical optics, imaging, or radiometry Experience with at least one optical design or analysis tool (e.g., Zemax, CODE V, LightTools, FRED, or comparable) Programming and data analysis experience in Python or MATLAB Coursework or research in imaging systems, illumination design, stray light analysis, or computational imaging Hands-on optical lab experience with instrumentation such as spectrometers, interferometers, scatterometers, lab microscopes, or MTF test benches Familiarity with optical performance metrics and measurement techniques (MTF, BSDF, surface form and roughness, distortion, transmitted wavefront error) Exposure to non-sequential or stray light simulation, tolerance analysis, or Monte Carlo yield analysis Familiarity with optical materials, thin-film coatings, or injection-molded and formed optical components Interest in applying machine learning or automation to optical design, simulation, or data analysis workflows Experience communicating technical results clearly to a multidisciplinary audience