Senior Engineer, Local AI - Agents and Systems

NVIDIA Corporation; United States; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation in the United States is seeking a Senior Engineer to lead deploying AI agent frameworks and local runtimes on Windows and GeForce RTX GPUs. You will guide development so open-source agents run locally and securely on consumer PCs.

You will mentor engineers, align with AI research and driver teams, and shape production-ready multi-agent orchestration using OpenClaw, LangChain, and CUDA-accelerated tools.

Qualifications

• 10+ years software engineering experience, with 3+ years in Staff/Lead roles.
• BS, MS, or PhD in Computer Science, Computer Engineering, or related field.
• Deep understanding of Windows OS internals, process isolation, sandboxing, and security.
• Proven experience with LLM inference pipelines and GPU-accelerated computing.
• Experience with AI orchestration frameworks and multi-agent systems.
• Proficient in C++ and Python for performance-critical parts and scripting.
• Experience building virtualization or sandboxing tools for Windows.

Responsibilities

• Lead development of AI agent frameworks natively on Windows.
• Define the technical roadmap to bring always-on AI agents to NVIDIA hardware.
• Optimize agent runtimes for Windows with privacy and security in mind.
• Mentor engineers and set guidelines for deployment and production code.
• Collaborate with AI research, driver teams, and OpenClaw community.
• Deliver robust, production-ready software with proper testing.

Skills

C++

Python

Windows internals

LLM inference pipelines

CUDA / TensorRT

OpenClaw / LangChain

Education

BS/MS/PhD in CS or related

Tools

OpenClaw

Hermes

Llama.cpp

vLLM

Job description

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.

What We Need to See:

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.

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

Your base salary will be determined based based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD - 287,500 USD for Level 4; and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

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

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.