Senior Engineer, Local AI - Agents and Systems

NVIDIA; Santa Clara (CA); Vor Ort; USD 184.000 - 357.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits package

Zusammenfassung

NVIDIA 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 the development so open-source agents like Nemoclaw and OpenClaw operate locally, safely, and efficiently on consumer PCs.

By combining strong local inference with privacy routers and sandboxed execution, you will help build the desktop AI operating system foundation and collaborate with internal teams and the OpenClaw community.

Qualifikationen

• 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 technical field (or equivalent).
• 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), CUDA/TensorRT, and experience running local models on consumer-grade hardware.
• Practical experience with modern AI orchestration and agentic frameworks (OpenClaw, Hermes, LangChain) and an understanding of multi-agent systems.

Aufgaben

• Lead the engineering efforts to deploy AI agent frameworks natively on Windows environments and define the technical roadmap for always-on AI assistants on GeForce RTX PCs.
• Mentor engineers, establish deployment guidelines, and write reliable, production-ready code.
• Collaborate with AI research teams, driver teams, and OpenClaw community to ensure a robust ecosystem for autonomous agents.
• Oversee policy-based privacy and security frameworks, including filesystem access, secure inference routing, and network egress.

Kenntnisse

C++

Python

Windows internals

Sandboxing

Security architecture

LLM inference

CUDA/TensorRT

OpenClaw

LangChain

Multi-agent systems

Ausbildung

BS/MS/PhD in Computer Science/Engineering

Tools

Ollama

Llama.cpp

vLLM

OpenClaw

Hermes

LangChain

CUDA

TensorRT

Jobbeschreibung

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 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.

You will also be eligible for equity and benefits.

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