Principal Engineer, Local AI - Agents and Systems
Core
Lead the development of autonomous AI agent frameworks and local runtimes for Windows and NVIDIA GeForce RTX GPUs to enable secure, always-on AI workflows on consumer PCs.
Role type
Principal Engineer, Local AI - Agents and Systems
Builds
Open-source AI agent frameworks (Nemoclaw, OpenClaw) and local inference runtimes for desktop AI operating systems
Domain
Consumer hardware, Windows OS internals, Local LLM inference, GPU-accelerated computing
Deliverable
production ML models
Required skills
Windows OS internals, Process isolation, Sandboxing technologies, System-level security architecture, LLM inference pipelines, GPU-accelerated computing, AI orchestration frameworks, C++, Python, Virtualization, Containerization
Preferred skills
Mentoring engineers, Establishing deployment guidelines
Technologies
Nemoclaw, OpenClaw, Nemotron, Ollama, Llama.cpp, vLLM, CUDA, TensorRT, LangChain, Hermes
Responsibilities
Build technical roadmap for always-on AI assistants on GeForce RTX PCs, Optimize agent runtimes for Windows with policy-based privacy/security, Partner with AI research and driver teams, Mentor engineers and write production-ready code
Seniority
Principal, hands-on IC with strategy & mentorship
