Principal Engineer, Local AI - Agents and Systems

What you'll do

• Lead the development of native AI agent frameworks for Windows environments.
• Build a technical roadmap for deploying self-evolving AI assistants on GeForce RTX hardware.
• Optimize agent runtimes to ensure efficient performance on consumer PCs and laptops.
• Implement policy-based privacy and security frameworks for filesystem access and network egress.
• Develop secure inference routing and sandboxed execution environments for local AI models.
• Write production-ready code in C++ and Python for performance-critical systems and AI logic.
• Establish engineering guidelines for AI agent deployment and mentor other engineers.

What we're looking for

• 15+ years of relevant professional software engineering experience.
• At least 3+ years of experience in a 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, GPU-accelerated computing (CUDA, TensorRT), and running local models on consumer-grade hardware.
• Practical experience with modern AI orchestration and agentic frameworks and multi-agent systems.
• Proficiency in C++ for performance-critical systems and Python for AI/blueprint logic.
• Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.