What We Need To See B.A, M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience. 6+ years in hardware, firmware, or system architecture — NIC, switch, DPU, CPU, or SoC. Experience with architectural workflows defining microarchitecture specs, performance models, or architecture decision documents, etc.. Ability to understand and adopt agentic AI workflows and tools (Claude/Codex/Cursor). Engineering committed to quality — for example, the ability to judge AI output quality for architecture tasks and suggest validation-fix strategies to improve it. Strong interpersonal skills — explain AI flows for architects lacking AI engineering expertise, and distill hardware architecture trade-offs for engineers without architectural backgrounds. Consistent track record driving adoption of new tools or processes across a technical organization. Ways To Stand Out From The Crowd Hands-on experience applying LLMs, agents, or prompt-
