NVIDIA
SeniorEngineer-AIAgentsandSystems
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“Senior Engineer - AI Agents and Systems at NVIDIA. Skills: AI Agents, Windows OS Internals, GPU Computing, LLM Inference, Sandboxing Technologies. developing the agent frameworks natively on Windows environments. shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops”
What You'll Achieve.
make this transition flawless, high-performing, and secure for millions of users worldwide; create the foundation of the desktop AI operating system
What They're Looking For.
Must Have
10+ years of relevant professional software engineering experience, at least 3+ years in Staff, or Lead Architect role, Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture, Proven understanding of LLM inference pipelines (Ollama, Llamacpp, 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 AIlueprint logic), Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem
Nice to Have
BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience)
What You'll Do.
developing the agent frameworks natively on Windows environments
shape the technical roadmap to bring always-on
self-evolving AI assistants to GeForce RTX PCs and laptops
optimize the agent runtimes for Windows
ensure that autonomous agents operate within thorough
policy-based privacy and security frameworks (e. g.
handling filesystem access
secure inference routing
Partner closely with internal AI research teams
and the open-source OpenClaw community
Ensure our consumer hardware provides an excellent ecosystem for autonomous agents
production-ready code
How You'll Work.
Team & Collaboration
Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community
Full Job Description
Artificial intelligence is moving from passive assistance to autonomous, always-on agentic workflows. Our mission is to make this transition flawless, high-performing, and secure for millions of users worldwide. We are looking for a Senior Engineer to serve as a key technical leader in deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs. You will lead the development to ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with robust privacy routers and sandboxed execution, you will help create the foundation of the desktop AI operating system. ****What You Will Be Doing:**** * Act as the lead engineer for developing the agent frameworks natively on Windows environments. You will shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops. * Lead the engineering efforts to optimize the agent runtimes for Windows. You will ensure that autonomous agents operate within thorough, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress). * Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community. Ensure our consumer hardware provides an excellent ecosystem for autonomous agents. * Foster a collaborative engineering culture by mentoring other engineers, establishing best practices for AI agent deployment, and writing reliable, production-ready code. ****What We Need to See:**** * 10+ years of relevant professional software engineering experience, with 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, and system-level security architecture. * Proven und
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