Senior Engineer, Local AI - Agents and Systems
$184k - $357k • US, CA, Santa Clara
Posted 1d ago
About the job
Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.
Responsibilities
- Lead the development of agent frameworks natively on Windows, creating a technical roadmap for AI assistants on GeForce RTX PCs.
- Optimize agent runtimes for Windows, ensuring autonomous agents operate within detailed privacy and security frameworks.
- Collaborate with internal AI research and driver teams, and the open-source community to create an excellent ecosystem for autonomous agents.
- Mentor engineers, establish guidelines for AI agent deployment, and write production-ready code.
Requirements
- 10+ years of software engineering experience, with at least 3+ years in a Staff or Lead Architect role.
- BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent experience.
- Deep understanding of Windows OS internals, process isolation, sandboxing, and system-level security.
- Experience with LLM inference pipelines (Ollama, Llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and running local models on consumer hardware.
- Practical experience with AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain) and multi-agent systems.
- Proficiency in C++ and Python.
- Experience building virtualization, containerization, or sandboxing tools for Windows.
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Eligibility for equity