Senior Engineer, Local AI - Agents and Systems
$184,000–$287,500 year
On-siteSanta Clara, California, United States or Redmond, Washington, United States
Job Summary
Lead the engineering effort to deploy advanced AI agent frameworks and local runtimes natively on Windows and NVIDIA GeForce RTX GPUs. Build the technical roadmap for always-on, self-evolving AI assistants on consumer PCs by optimizing agent runtimes and ensuring autonomous agents operate within policy-based privacy and security frameworks. Act as the lead engineer for developing these systems while partnering with internal AI research teams, driver teams, and the open-source OpenClaw community. Foster a collaborative culture by mentoring engineers, establishing deployment guidelines, and writing production-ready code. This role supports the foundation of the desktop AI operating system, combining powerful local inference with sandboxed execution for secure, efficient desktop workflows.
Required Qualifications
- 10+ years of relevant professional software engineering experience
- at least 3+ years in Staff, or Lead Architect role
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience)
- Deep understanding of Windows OS internals
- process isolation
- sandboxing technologies
- system-level security architecture
- Proven understanding of LLM inference pipelines (Ollama, Llama.cpp, vLLM)
- GPU-accelerated computing (CUDA, TensorRT)
- experience running local models on consumer-grade hardware
- Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain)
- understanding of how multi-agent systems plan, act, and use tools
- Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic)
- Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem
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