NVIDIA
Principal Engineer, Local AI - Agents and Systems
$272K–$431K
US, CA, Santa Clara +1 · Principal · Full-time · Posted Jul 27, 2026
- Location
- US, CA, Santa Clara
US, WA, Redmond - Experience
- 15+ years of relevant professional software engineering experience, with at least 3+ years in a Staff or Lead Architect role.
- Education
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).
About the job
Lead development and optimization of Windows-based AI agent frameworks and local runtimes for GeForce RTX consumer PCs, with a focus on secure, private, efficient operation.
What you'll do
- Set the technical roadmap and lead native Windows development of AI agent frameworks for GeForce RTX PCs and laptops.
- Optimize Windows agent runtimes and implement policy-based privacy and security, including filesystem access, inference routing, and network egress.
- Partner with AI research, driver teams, and the OpenClaw community; mentor engineers and establish deployment guidelines.
What they ask for
- 15+ years of relevant professional software engineering experience, including at least 3+ years in a 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, and system-level security architecture.
- Experience with local LLM inference, GPU-accelerated computing, AI orchestration and agentic frameworks, and Windows virtualization, containerization, or sandboxing; proficiency in multiple languages, particularly C++ and Python.
Pay
272,000 USD - 431,250 USD (base salary)
Tools
Windows, GeForce RTX, Nemotron, Ollama, Llama.cpp, vLLM, CUDA, TensorRT
AI focus
Develop and optimize local AI agents and runtimes for Windows and GeForce RTX PCs, including secure local inference and agent orchestration.
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