Security Researcher – Red Team - Jobs - Careers at Apple
- Architectural Red Teaming: Design and execute targeted adversarial campaigns against the hardware/software interface of modern SoCs, specifically focusing on CPU and GPU.
- Vulnerability Discovery: Conduct deep-dive vulnerability research into microarchitectural behaviors, side-channels, and hardware-assisted security features.
- Exploit Development: Develop proof-of-concept exploit chains that bridge hardware vulnerabilities into kernel space, demonstrating real-world impact.
- GPU & Compute Security: Analyze GPU driver interfaces, command processors, and execution units, particularly in the context of modern compute workloads and hardware acceleration.
- Mitigation Bypass & Analysis: Evaluate and attempt to bypass modern hardware mitigations (e.g., Pointer Authentication, Memory Tagging, virtualization boundaries).
- Cross-Functional Collaboration: Partner with hardware engineering and software kernel teams to translate your red team findings into robust, architectural-level mitigations.
- 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.
- 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.
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Required Skills
Required Languages
🇬🇧 English