Principal Engineer - AI Agents and Systems

About the role

Our mission is to make the transition from passive AI assistance to autonomous, always-on AI workflows seamless, high-performing, and secure for millions of users worldwide. We are seeking a Principal Engineer to lead the development of advanced AI agent frameworks and local runtimes for Windows and NVIDIA GeForce RTX GPUs.

Responsibilities

• Act as the lead architect for deploying the NemoClaw framework natively on Windows environments.
• Shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
• Guide engineering efforts to optimize the agent runtimes for Windows, ensuring autonomous agents operate within thorough, policy-based privacy and security frameworks.
• Design the integration of NemoClaw with NVIDIA's hardware and middleware stack to minimize latency and memory footprint.
• Work closely with internal AI research teams, driver teams, and the open-source OpenClaw community to ensure consumer hardware supports autonomous agents.
• Foster a collaborative engineering culture by mentoring senior engineers, establishing best practices for AI agent deployment, and writing reliable, production-ready code.

Requirements

• 15+ years of relevant professional software engineering experience, including 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, GPU-accelerated computing, and experience running local models on consumer-grade hardware.
• Practical experience with modern AI orchestration and agentic frameworks, such as OpenClaw, LangChain, AutoGPT, and an understanding of multi-agent systems.
• Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration), Python (for AI/blueprint logic), and TypeScript (for agent plugins and tooling).

Qualifications

• Strong ability to translate sophisticated architectural concepts into clear technical documentation and communicate effectively across diverse engineering teams.

Skills

• Demonstrated experience contributing to open-source AI agent platforms or orchestration tools (especially OpenClaw).
• Extensive knowledge of the NVIDIA GeForce RTX architecture and its specific constraints and advantages for edge AI.
• Previous experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
• Active engagement in the technical community through blogs, talks, and whitepapers focusing on the intersection of AI, security, and local compute.

Benefits

NVIDIA offers a competitive salary range of $272,000 - $431,250, along with a comprehensive benefits package. We are committed to fostering a diverse and inclusive workplace and are an equal opportunity employer.

Pay

Base salary will be determined based on location, experience, and the pay of employees in similar positions.

Schedule

The posting is for an existing vacancy. Applications will be accepted until April 17, 2026.

Ways to stand out

• Demonstrated experience contributing to open-source AI agent platforms or orchestration tools (especially OpenClaw).
• Extensive knowledge of the NVIDIA GeForce RTX architecture and its specific constraints and advantages for edge AI.
• Previous experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.
• Active engagement in the technical community through blogs, talks, and whitepapers focusing on the intersection of AI, security, and local compute.