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Principal Engineer, Local AI - Agents and Systems

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Redmond, WA$272k - $431.3kfull-timePosted 2mo ago

About the role

Lead engineer responsible for deploying and optimizing native Windows agent frameworks and local runtimes for autonomous AI agents on GeForce RTX PCs, integrating Nemoclaw/OpenClaw, and ensuring privacy, security, and efficient local inference.

Responsibilities

  • Act as the lead engineer for developing agent frameworks natively on Windows environments and define the technical roadmap for always-on, self-evolving AI assistants on GeForce RTX PCs/laptops.
  • Lead engineering efforts to optimize agent runtimes for Windows, ensuring autonomous agents operate within detailed policy-based privacy and security frameworks (filesystem access, secure inference routing, network egress).
  • Partner with internal AI research teams, driver teams, and the OpenClaw community to deliver a robust ecosystem for autonomous agents on consumer hardware.
  • Mentor engineers, establish deployment guidelines for AI agents, and produce reliable, production-ready code.

Qualifications

  • 15+ years of professional software engineering experience, with at least 3+ years in Staff or Lead Architect roles.
  • 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 (OpenClaw, Hermes, LangChain) and understanding of multi-agent systems planning, acting, and tool use.
  • Proficiency in C++ (performance-critical systems/OS integration) and Python (AI/blueprint logic).
  • Experience building virtualization, containerization, or robust sandboxing tools natively for Windows.

Skills

Required:Windows OS internalsLLM inference pipelinesGPU-accelerated computingAI orchestration frameworksmulti-agent systemsC++Python

Benefits

  • Equity
  • Comprehensive benefits package
  • Competitive salaries (base salary range: 272,000 USD - 431,250 USD)
  • NVIDIA benefits information available at www.nvidiabenefits.com/
Last updated Jul 31, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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