Senior Engineer, Local AI - Agents and Systems

## Senior Engineer, Local AI - Agents and Systems Apply locations:
US, CA, Santa Clara:
US, WA, Redmond time type:
Full time posted on:
Posted Todayjob requisition :
JR2021986

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 Open Claw) 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 file system access, secure inference routing, and network egress).
* Partner closely with internal AI research teams, driver teams, and the open-source Open Claw 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., Open Claw, Hermes, Lang Chain) 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 (Use the "Apply for this Job" box below). 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 July 28, 2026.