Senior Engineer

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

Role overview

Artificial intelligence is shifting from passive help to autonomous, always-on workflows. Our mission is to make this change seamless, efficient, and secure for millions globally. We seek a Senior Engineer to lead technical efforts in deploying advanced AI agent frameworks and local runtimes on Windows and NVIDIA GeForce RTX GPUs. You will guide development so open-source AI agents (such as Nemoclaw and OpenClaw) operate locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with strong privacy routers and sandboxed execution, you will help develop the foundation of the desktop AI operating system.

What You Will Be Doing

• Act as the lead engineer for developing the agent frameworks natively on Windows environments.
• You will build the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
• Lead the engineering efforts to optimize the agent runtimes for Windows.
• You will ensure that autonomous agents operate within detailed, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).
• 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.
• Foster a collaborative engineering culture by mentoring other engineers, establishing guidelines for AI agent deployment, and writing reliable, production-ready code.

Requirements

• 10+ years of relevant professional software engineering experience, with at least 3+ years in 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 (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 (e.g., OpenClaw, Hermes, LangChain) and an understanding of how multi-agent systems plan, act, and use tools.
• Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration) and Python (for AI/blueprint logic).
• Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.

Salary

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Benefits

You will also be eligible for equity and benefits. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com

Application deadline

Applications for this job will be accepted at least until October 3, 2026.