NVIDIA
Senior Engineer, Local AI - Agents and Systems
$184K–$356K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Sep 29, 2026
- Location
- US, CA, Santa Clara
US, WA, Redmond - Experience
- 10+ years of relevant professional software engineering experience, including 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
Leads development and optimization of Windows-based local AI agent frameworks and runtimes for GeForce RTX PCs, with a focus on secure, private, and efficient operation.
What you'll do
- Lead the technical roadmap and 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.
- Collaborate with research, driver, and open-source teams; mentor engineers and establish deployment guidelines.
What they ask for
- Deep understanding of Windows OS internals, process isolation, sandboxing, and system-level security architecture.
- Understanding of LLM inference pipelines and GPU-accelerated computing, with experience running local models on consumer hardware.
- Practical experience with AI orchestration and agentic frameworks, plus understanding of multi-agent systems.
- Proficiency in multiple languages, particularly C++ and Python; experience building virtualization, containerization, or sandboxing tools for Windows.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Windows, GeForce RTX, Nemotron, Ollama, Llama.cpp, vLLM, CUDA, TensorRT
AI focus
Deploying and optimizing local AI agents and inference on Windows consumer PCs, with secure sandboxing and privacy controls.
Model-written summary · the original posting is authoritative