Senior AI Agent Systems Lead (Windows + GPU)

NVIDIA; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a Senior Engineer to lead the deployment of advanced AI agent frameworks and local runtimes on Windows and GeForce RTX GPUs. You will guide the development to run open-source AI agents locally, safely, and efficiently on consumer PCs, combining local inference with strong privacy routers and sandboxing.

You will mentor engineers, define deployment guidelines, and deliver production-ready code while collaborating with AI research, driver teams, and the OpenClaw community to build a

Qualifications

• 10+ years of professional software engineering experience, including 3+ years in staff or lead architect role.
• BS, MS, or PhD in Computer Science, Computer Engineering, or related field.
• Deep understanding of Windows OS internals, process isolation, sandboxing, and system-level security architecture.
• Proven understanding of LLM inference pipelines and GPU-accelerated computing; experience running local models on consumer hardware.

Responsibilities

• Lead engineer for developing agent frameworks natively on Windows; create the technical roadmap for always-on AI agents on GeForce RTX PCs.
• Lead optimization of agent runtimes for Windows within privacy and security frameworks (filesystem access, secure inference routing, network egress).
• Collaborate with internal AI research teams, driver teams, and the OpenClaw community to ensure a strong ecosystem for consumer hardware.
• Mentor engineers, set deployment guidelines for AI agents, and deliver production-ready code.

Skills

C++

Python

LLM inference pipelines

Windows internals

Sandboxing / security

Education

BS/MS/PhD in Computer Science or Computer Engineering

Tools

CUDA

TensorRT

Ollama

Llama.cpp

vLLM

OpenClaw

Hermes

LangChain

Job description

NVIDIA seeks a Senior Engineer to lead the deployment of advanced AI agent frameworks and local runtimes on Windows and GeForce RTX GPUs. You will guide the development to run open-source AI agents locally, safely, and efficiently on consumer PCs, combining local inference with strong privacy routers and sandboxing.

You will mentor engineers, define deployment guidelines, and deliver production-ready code while collaborating with AI research, driver teams, and the OpenClaw community to build a