This role pays more than
60%
of similar roles. Most pay
$151,475–$215,925
— the shaded band above.
At the midpoint, this role pays about
$196k
versus about
$184k
for comparable roles.
Based on 240 similar postings.
Employer
About Snap Inc.
Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.
Snap Inc. currently has
84 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 64 roles with salary data.
The Software Engineer, Device Security, Level 4 joins the Specs Security team to protect advanced eyewear and the underlying Snap OS. This role involves designing, building, and hardening on-device security systems including permissions, access control, secure IPC, sandboxing, and trusted execution boundaries. The engineer will develop security and privacy controls for on-device AI features, ensuring model integrity and safe handling of sensitive data. Responsibilities include researching security features across firmware, system services, and cloud-connected surfaces while improving fuzzing infrastructure and automated testing pipelines. Key technical requirements include expertise in Linux-based system security, embedded operating systems, applied cryptography, and platform hardening. The candidate will utilize skills in threat modeling, vulnerability assessment, and secure code review to protect sensor-rich devices. Preferred programming languages for this role include C, C++, and Rust.
What does a Software Engineer earn in California?
Median $214000 from 761 postings across 67 companies.
Design and harden on-device security systems including permissions, access control, sandboxing, and trusted execution boundaries.
Develop security and privacy controls for on-device AI features and sensitive data handling.
Implement security features across Snap OS, firmware, applications, system services, and cloud-connected device surfaces.
Improve fuzzing infrastructure and automated security testing for OS components and IPC mechanisms.
Build continuous validation pipelines for parsers, drivers, firmware interfaces, and AI-related data flows.
Perform security analysis, threat modeling, and vulnerability assessments across hardware and software boundaries.
Conduct secure code reviews and automated security validations for embedded and Linux-based systems.
What we're looking for
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
2+ years of experience building security, privacy, or platform protection features for Linux-based, embedded, mobile, wearable, or connected device systems.
Experience with applied cryptography, authentication, authorization, secure communications, key management, threat modeling, vulnerability assessment, or system security for embedded or Linux-based systems.
Master’s degree or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline (preferred).
5+ years of experience developing production software in one or more programming languages such as C, C++, Rust (preferred).
Experience designing or building on-device permission systems, access control frameworks, sandboxing, secure IPC, service isolation, or privacy-preserving controls for sensor-rich devices (preferred).
Experience securing on-device AI, ML, or assistant-like systems, including model integrity and inference-time privacy (preferred).
Experience with trusted execution technologies, secure manufacturing, device provisioning, attestation, anti-rollback, and platform-level vulnerability hardening for Linux-based systems (preferred).