Deep Architectural Knowledge: Strong understanding of modern CPU architectures (pipeline stages, caching mechanisms, MMU, speculative execution). Extensive familiarity with ARM v8/v9 or x86 instruction sets. GPU/Compute Expertise: Proven understanding of GPU architectures (execution pipelines, memory hierarchies) and how software interfaces with them (e.g., driver vulnerability research, compute batching, memory isolation). Low-Level Software Mastery: Proficiency in C, C++, and Assembly. Deep understanding of operating system internals, kernel architecture, and memory management. Proven Track Record: Demonstrable experience in discovering vulnerabilities or developing exploits at the OS/Hypervisor level, or in hardware-software interfaces (CVEs, bug bounties, conference talks, or whitepapers). 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.
