Principal Engineer – Local AI, Agents and Systems

NVIDIA

Lead Engineer at NVIDIA developing advanced AI agent frameworks and runtimes on Windows. Optimize systems and ensure security for local deployment and operation of AI agents.

Posted 7/28/2026full-timeSanta Clara • California, Washington • 🇺🇸 United StatesLead💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing agent frameworks for Windows environments, with a strong focus on optimizing AI assistants and ensuring compliance with privacy and security standards. Proven ability to lead engineering teams and mentor peers while delivering reliable, production-ready code.

Highest-signal resume keywords

Windows OS InternalsC++ ProficiencyPython ProficiencyLLM Inference PipelinesAI Orchestration Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSystem-Level Security ArchitectureGPU-Accelerated ComputingVirtualization ToolsContainerization ToolsSandboxing TechnologiesAgent Framework DevelopmentPerformance-Critical Systems IntegrationAI/Blueprint LogicProcess Isolation

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

CUDATensorRTOpenClawHermesLangChain

Certifications & Qualifications

BS in Computer ScienceMS in Computer EngineeringPhD in Related Field

Industry Keywords

AI AssistantsConsumer HardwarePrivacy FrameworksSecurity FrameworksEngineering Culture

Tech Stack

Tools & technologies

C++Python

About the role

Key responsibilities & impact

Act as the lead engineer for developing agent frameworks natively on Windows environments
Build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops
Lead engineering efforts to optimize agent runtimes for Windows
Ensure autonomous agents operate within detailed, policy-based privacy and security frameworks
Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community
Ensure consumer hardware provides an excellent ecosystem for autonomous agents
Foster a collaborative engineering culture by mentoring other engineers and writing reliable, production-ready code

Requirements

What you’ll need

15+ 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 related 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, Llama.cpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware
Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain)
Proficiency in C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic)
Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity options