Senior Windows AI Agent Architect

NVIDIA Corporation; Myrtle Point (OR); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Corporation is seeking a Senior Engineer to lead the deployment of advanced AI agent frameworks and local runtimes on Windows and GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs.

You will collaborate with AI research teams and driver teams, optimize runtimes, and mentor engineers while ensuring a robust, privacy-conscious desktop AI ecosystem and reliable code.

Qualifications

• 10+ 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).
• Deep understanding of Windows OS internals, process isolation, sandboxing, and system security architecture.

Responsibilities

• Lead engineers to develop agent frameworks on Windows environments.
• Build a technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs.
• Optimize agent runtimes for Windows.
• Ensure autonomous agents operate within privacy and security frameworks.
• Partner with internal AI research teams, driver teams, and the OpenClaw community.
• Ensure consumer hardware provides an excellent ecosystem for autonomous agents.
• Mentor engineers and write production-ready code.

Skills

Windows internals

LLM inference

C++

Python

AI orchestration

Sandboxing

CUDA

TensorRT

Education

BS/MS/PhD in Computer Science/Engineering

Tools

OpenClaw

Hermes

LangChain

Ollama

Llama.cpp

vLLM

Job description

NVIDIA Corporation is seeking a Senior Engineer to lead the deployment of advanced AI agent frameworks and local runtimes on Windows and GeForce RTX GPUs. You will guide development so open-source AI agents operate locally, safely, and efficiently on consumer PCs.

You will collaborate with AI research teams and driver teams, optimize runtimes, and mentor engineers while ensuring a robust, privacy-conscious desktop AI ecosystem and reliable code.