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NVIDIA

Principal Engineer – AI Agents and Systems

NVIDIA

Principal Engineer leading AI agent frameworks deployment for NVIDIA's Windows environments and GPUs. Overseeing architecture and optimization for local inference systems.

Posted 4/14/2026full-timeSanta Clara • California, Washington • 🇺🇸 United StatesLead💰 $272,000 - $431,250 per yearWebsite

Tech Stack

Tools & technologies
PythonTypeScript

About the role

Key responsibilities & impact
  • Act as the lead architect for deploying the NemoClaw framework natively on Windows environments
  • Guide the engineering efforts to optimize the agent runtimes for Windows
  • Design the integration of NemoClaw with NVIDIA's hardware and middleware stack
  • Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community
  • Foster a collaborative engineering culture by mentoring senior engineers

Requirements

What you’ll need
  • 15+ years of relevant professional software engineering experience
  • at least 3+ years in a Principal, 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)
  • Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, LangChain, AutoGPT)
  • Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration), Python (for AI/blueprint logic), and TypeScript (for agent plugins and tooling)
  • Strong ability to translate sophisticated architectural concepts into clear technical documentation

Benefits

Comp & perks
  • competitive salaries
  • generous benefits package
  • equity

ATS Keywords

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Hard Skills & Tools
NemoClaw frameworkWindows OS internalsprocess isolationsandboxing technologiessystem-level security architectureLLM inference pipelinesGPU-accelerated computingCUDATensorRTC++
Soft Skills
mentoringcollaborative engineering culturecommunication
Certifications
BS in Computer ScienceMS in Computer SciencePhD in Computer Science