NVIDIA

SeniorEngineerAIAgentsandSystems

$184–357k Santa Clara, California, United States FULL TIME Remote Friendly
The Brief

“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

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