Security Researcher – Red Team

Help Apple secure the world’s most advanced consumer devices, which people trust to store their personal and professional data. We believe that the best defense is a good offense, and that means finding vulnerabilities before attackers do. We're looking for talented and inspired individuals to join our team and attack Apple's products with the goal of better safeguarding our users.

Description

We are looking for a Senior Security Researcher to join our specialized Red Team. In this role, you will focus on the complex boundary where hardware meets software. You will hunt for vulnerabilities in the microarchitecture, memory management, and execution pipelines of modern CPUs and GPUs, as well as in the low-level code which runs on it. If you enjoy bridging the gap between hardware primitives and kernel-level exploits, and have a passion for uncovering side-channels or architectural logic flaws, this is the team for you.

Minimum Qualifications

BS in Computer Engineering or related engineering degree. Experience with modern CPU architectures; such as pipeline stages, caching mechanisms, MMU, or speculative execution. Experience with low-level software; such as in C, C++, or Assembly. Experience in discovering vulnerabilities or developing exploits at the OS/Hypervisor level, or in hardware-software interfaces such as CVEs, bug bounties, conference talks, or whitepapers.

Preferred Qualifications

10+ years relevant industry experience. Extensive familiarity with ARM v8/v9 or x86 instruction sets. Proven understanding of GPU architectures (execution pipelines, memory hierarchies) and how software interfaces with them (e.g., driver vulnerability research, compute batching, memory isolation). Deep understanding of operating system internals, kernel architecture, and memory management. Experience with hardware description languages (Verilog/VHDL) or pre-silicon security validation. Experience with confidential computing environments. Familiarity with the security implications of AI/ML hardware accelerators and complex GPU workloads (e.g., memory handling in PagedAttention or Mixture of Experts). Familiarity with reverse engineering tools (IDA Pro, Ghidra) and dynamic analysis/debugging tools.