# Hardware Engineer Intern - Camera & Sensing Architecture at Meta

- Company: [Meta](https://meta.com)
- Location: Sunnyvale, CA
- Type: Internship · Internship
- Posted: 2026-10-14
- Apply: https://www.metacareers.com/jobs/29216393121298039
- Page: https://newgrad.ai/jobs/hardware-engineer-intern-camera-sensing-architecture-3660a701

## Summary by newgrad.ai

What you'll do:

- Build quantitative models to support camera architecture decisions.
- Conduct trade studies connecting hardware parameters to product features.
- Analyze how hardware choices impact computer vision and AI performance.
- Manage an end-to-end project from definition to final recommendation.

What they're looking for:

- Ability to work with sensor, lens, module, and AI teams.
- Understanding of camera hardware metrics like resolution, SNR, and MTF.
- Commitment to a 12-week internship program.

## Posting

The Camera Architecture team within Camera, Depth & Sensors (CDS) at Reality Labs defines the imaging hardware architecture for Meta's AI glasses, AR glasses, VR headsets, wearable devices, and Physical AI / Robotics platforms. We sit at the intersection of image sensor technology, optics, and the AI/imaging feature stack — translating product vision into camera hardware solutions that ship at scale. Our cameras serve photography, computer vision (SLAM, hand/eye tracking, passthrough), and contextual-AI features.

As a Hardware Engineer Intern on the Camera Architecture team, you will help build the quantitative foundation behind camera architecture decisions. Working alongside camera architects and sensor, lens, module, and AI teams, you will develop first-principles models and run trade studies that connect camera hardware parameters — resolution, pixel size, SNR, MTF, dynamic range, frame rate, shutter type, power — to the product features they enable. Depending on project and background, your work may also extend into how camera hardware choices affect on-device computer vision and AI performance. You will own a well-scoped project end to end, from problem definition through analysis and a recommendation presented to the team.

This is a 12-week internship.

From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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