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# security engineer

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $184,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software System Penetration Testing, Code Review, Continuous Integration, Software Debugging, Software Architecture, Systems Development Life Cycle, Software Engineering, Large Language Models, Agentic-AI, Automation Anywhere
- **Published:** October 9, 2026
- **Apply:** https://www.themuse.com/jobs/apple/security-engineer-apple-pay-7212d9

## About the Role

Superior problem solving and debugging skills

Understanding of the use of various cryptographic algorithms (PQC, AES, SHA, etc.)

Able to clearly communicate across many teams (Can you nicely tell the developer that they have a bug?)

Ability to propose new designs and architectural improvements (Can you redesign what you just broke?)

Experience either shipping software or integrating security into every stage of the software lifecycle.

Minimum Qualifications

Drive and agency: You know how to use tools to learn new areas, experiment, and develop security issue discovery capabilities. You're curious and interested in learning new areas. You have a sense of ownership and pride in improving the environment.

Security engineering foundation: You've threat modeled hardware and/or software designs, determining where attacks would come from and what protections exist in a design. You've performed hands-on security testing (pentesting, negative testing, or equivalent). You're skilled at security code reviews.

AI/agentic fluency: You have hands-on experience using agentic/LLM-based coding tools. You're able to build and refine Skills, Agents and AI workflows, not just operate them. You're able to independently verify or refute a finding rather than accept it at face value.

5+ years of experience in a Security focused role

## Description

You're a security engineer at heart: a pentester who breaks hardware, software, and services to find what others miss. You use AI to move faster and improve the tooling as you go: not shipping product features but building the Skills, Agents, and workflows that make our security testing sharper. Above all, you can disagree with the AI, prove it wrong, and make it better instead of rubber-stamping its results., Develop AI workflows to perform security review and security testing

Develop Skills and Agents that instill security best practices into every phase of the SDLC: design, implementation, review, build/CI-CD, and post-launch

Threat model development and secure design assessment of hardware and software

Hands-on testing of hardware and software