Principal Engineer – Local AI, Agents and Systems

• 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

• 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.

Core Competencies

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 Internals
• C++ Proficiency
• Python Proficiency
• LLM Inference Pipelines
• AI Orchestration Frameworks

ATS Optimization Keywords

Hard Skills

• Software Engineering
• System-Level Security Architecture
• GPU-Accelerated Computing
• Virtualization Tools
• Containerization Tools
• Sandboxing Technologies
• Agent Framework Development
• Performance-Critical Systems Integration
• AI/Blueprint Logic
• Process Isolation

Soft Skills

• Mentoring
• Collaboration
• Leadership

Certifications & Qualifications

• BS in Computer Science
• MS in Computer Engineering
• PhD in Related Field

Industry Keywords

• AI Assistants
• Consumer Hardware
• Privacy Frameworks
• Security Frameworks
• Engineering Culture

Tools & Technologies

• CUDA
• TensorRT
• OpenClaw
• Hermes
• LangChain