Principal Engineer - AI Agents and Systems at NVIDIA

You're a seasoned software engineer with at least 15 years of experience, including 3+ years in a Principal, Staff, or Lead Architect capacity, and hold a techn

Work type: onsite

Location: US, CA, Santa Clara | US, WA, Redmond

Salary: $272,000 – $431,250/yr

Type: Full-time

Summary

You're a seasoned software engineer with at least 15 years of experience, including 3+ years in a Principal, Staff, or Lead Architect capacity, and hold a technical degree or equivalent experience. **What makes it worth a look...** This Principal Engineer role at NVIDIA in Santa Clara, CA or Redmond, WA offers an annual base salary of $272,000 - $431,250, plus equity, and involves leading the deployment of advanced AI agent frameworks on consumer hardware. **You might be a good fit if you...** * Have a deep understanding of Windows OS internals, process isolation, and sandboxing technologies. * Possess proven experience with LLM inference pipelines and GPU-accelerated computing like CUDA and TensorRT. * Have practical experience with modern AI orchestration frameworks such as OpenClaw or LangChain. * Are proficient in C++, Python, and TypeScript for systems integration and AI logic.

Job Description

Artificial intelligence is moving from passive assistance to autonomous, always-on agentic workflows. Our mission is to make this transition flawless, high-performing, and secure for millions of users worldwide.

We are looking for a Principal Engineer to serve as a key technical leader in deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs. You will lead the development to ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with robust privacy routers and sandboxed execution, you will help create the foundation of the desktop AI operating system.

What You Will Be Doing:

Technical Architecture & Strategy: Act as the lead architect for deploying the NemoClaw framework natively on Windows environments. You will shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.

Systems-Level Sandboxing: Guide the engineering efforts to optimize the agent runtimes for Windows. You will ensure that autonomous agents operate within thorough, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).

Performance Optimization: Design the integration of NemoClaw with NVIDIA's hardware and middleware stack. You will work to minimize latency and memory footprint, ensuring local models (like Nemotron) run efficiently on GeForce GPUs using TensorRT and CUDA.

Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community. Ensure our consumer hardware provides an excellent ecosystem for autonomous agents.

Mentorship & Team Support: Foster a collaborative engineering culture by mentoring senior engineers, establishing best practices for AI agent deployment, and writing reliable, production-ready code.

What We Need to See:

Experience: 15+ years of relevant professional software engineering experience, with at least 3+ years in a Principal, Staff, or Lead Architect role.

Education: BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).

Systems & OS Knowledge: Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.

AI & GPU Infrastructure: Proven understanding of LLM inference pipelines (Ollama, Llamacpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.

Agentic Frameworks: Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, LangChain, AutoGPT) and an understanding of how multi-agent systems plan, act, and use tools.

Programming Languages: Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration), Python (for AI/blueprint logic), and TypeScript (for agent plugins and tooling).

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

Ways to Stand Out from the crowd:

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 (blogs, talks, whitepapers) focusing on the intersection of AI, security, and local compute.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people on the planet working for us. As part of our team, you will have the opportunity to influence the future with your vision and expertise. Are you creative? Are you driven not just by data or the need to know why, but yearn to ask, 'why not'? We want to hear from you.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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