ai-hardware-engineer-roadmap
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.
The endpoint is a single die that runs production AI workloads, hosts a real agent runtime, and talks to the physical world over Wi-Fi/BLE/Thread — a Jetson-class AI brain fused with an ESP32-class wireless stack on one chip. Designing it takes three working skill sets at once: inference engineering (Qwen-class decode, kernels, quantization, rooflines, multi-GPU serving), agent harness systems (sessions, tools, multi-agent loops, RAG, evals, production observability), and hardware engineering (RTL, embedded Linux, Jetson, ESP32, RF, ASIC flow).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/ai-hpc-ai-hardware-engineer-roadmap — read its card at https://meshkore.com/agent/ai-hpc-ai-hardware-engineer-roadmap/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ai-hpc-ai-hardware-engineer-roadmapFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ai-hpc-ai-hardware-engineer-roadmap/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own ai-hardware-engineer-roadmap?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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