Software Engineer, Device Security, Level 4

About the role

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

Specs Inc. is a wholly-owned subsidiary of Snap Inc. dedicated to making computing more human. The company develops Specs, advanced eyewear that seamlessly integrates digital experiences into the physical world.

Specs feature see-through lenses that place digital objects directly into three-dimensional space, powered by Snap OS, a proprietary, context-aware operating system designed for natural interaction with your hands and voice.

Specs Inc. also provides Lens Studio, a full suite of advanced developer tools that powers immersive augmented reality experiences across Specs, Snapchat, and other services.

We’re looking for a Software Engineer to join the Specs Security team at Snap Inc!

What you’ll do:

- Design, build, and harden on-device security systems for Specs, including permissions, access control, secure IPC, sandboxing, and trusted execution boundaries.

- Develop security and privacy controls for on-device AI features, including model integrity, sensitive data handling, inference-time privacy protections, local policy enforcement, and secure access to sensors, user data, and system capabilities.

- Research, design, and implement security features that improve the security posture of Specs across Snap OS, firmware, applications, system services, and cloud-connected device surfaces.

- Improve fuzzing infrastructure, automated security testing, and continuous validation pipelines for OS components, IPC mechanisms, parsers, services, drivers, firmware interfaces, and AI-related data flows.

Knowledge, Skills & Abilities:

- Knowledge of Linux-based system security, embedded operating systems, trusted execution boundaries, secure software architecture, applied cryptography, authentication, authorization, attestation, key management, and platform hardening techniques.

- Knowledge of permission systems, access control, least-privilege design, sandboxing, secure IPC, service isolation, and privacy-preserving access to sensors, user data, and system capabilities.

- Develop security and privacy controls for on-device AI features, including model integrity, sensitive data handling, inference-time privacy protections, and local policy enforcement.

- Ability to perform security analysis, threat modeling, vulnerability assessment, secure code review, fuzzing, static analysis, dynamic analysis, and automated security validation across OS, firmware and AI/ML system boundaries.