NVIDIA
SeniorEngineer-AIAgentsandSystems
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“Senior Engineer - AI Agents and Systems at NVIDIA. Skills: AI Agents and Systems, Windows OS internals, LLM inference pipelines, GPU-accelerated computing, AI orchestration and agentic frameworks. serve as a key technical leader in deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs. lead the development to ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally, safely, and efficiently on consumer PCs”
What You'll Achieve.
make this transition flawless, high-performing, and secure for millions of users worldwide; ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally, safely, and efficiently on consumer PCs; create the foundation of the desktop AI operating system; bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops; ensure that autonomous agents operate within thorough, policy-based privacy and security frameworks; ensure our consumer hardware provides an excellent ecosystem for autonomous agents; writing reliable, production-ready code
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, 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 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
Staff, or Lead Architect role
What You'll Do.
serve as a key technical leader in deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs
lead the development to ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally
and efficiently on consumer PCs
create the foundation of the desktop AI operating system
Act as the lead engineer for 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
Lead the engineering efforts to optimize the agent runtimes for Windows
ensure that autonomous agents operate within thorough
policy-based privacy and security frameworks
Partner closely with internal AI research 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
production-ready code
How You'll Work.
Team & Collaboration
Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community; Foster a collaborative engineering culture
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 underst
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