Senior Engineer, Local AI - Agents and Systems

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA Corporation in Santa Clara, CA, seeks a Senior Engineer to lead the deployment of local AI agent frameworks and runtimes on Windows and GeForce RTX GPUs. You will guide OSS agents (such as OpenClaw) to run locally, safely, and efficiently on consumer PCs.

You will own the Windows-focused roadmap, mentor engineers, and collaborate with AI research and driver teams to ensure privacy and security policies guide file access, inference routing, and network egress.

Qualifications

• 10+ years of professional software engineering experience with leadership roles.
• Deep understanding of Windows OS internals, sandboxing, and system security.
• Experience with LLM inference pipelines and local models on consumer hardware.
• Familiarity with OpenClaw, Hermes, LangChain and multi-agent orchestration.
• Proficient in C++ and Python; comfortable with OS integration and performance tuning.
• Experience building virtualization, containers, or sandboxing tools for Windows.

Responsibilities

• Lead development of agent frameworks natively on Windows environments.
• Create roadmaps to bring always-on, self-evolving AI assistants to GeForce RTX PCs.
• Optimize agent runtimes and enforce policy-based privacy and security.
• Collaborate with AI research, driver teams, and OpenClaw community.
• Mentor engineers and establish production-ready code standards.

Skills

C++

Python

Multi-agent systems

LLM inference pipelines

Education

BS/MS/PhD in CS/CE or related field

Tools

OpenClaw

Hermes

LangChain

Ollama

Llama.cpp

vLLM

CUDA

TensorRT

Job description

## Senior Engineer, Local AI - Agents and SystemsApplylocations: US, CA, Santa Clara: US, WA, Redmondtime type: Full timeposted on: Posted Todayjob requisition id: JR2021986Artificial 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.comYour 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.