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Principal Engineer – AI Agents and Systems
NVIDIAPrincipal 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 & technologiesPythonTypeScript
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
✓ Tailor your resumeApplicant Tracking System 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