Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 6
Leadership @ 4
Technical Leadership @ 4
LLM @ 4
CUDA @ 4
GPU @ 4
AI @ 4
vLLM @ 4
TensorRT @ 4
LangChain @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Artificial intelligence is moving from passive assistance to autonomous, always-on agentic workflows. The mission is to make this transition flawless, high-performing, and secure for millions of users worldwide. This role is a senior technical leadership position focused on deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs, enabling open-source AI agents (e.g., Nemoclaw, OpenClaw) to run locally, safely, and efficiently on consumer PCs.
Responsibilities
- Lead development of agent frameworks natively on Windows, shaping the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
- Optimize agent runtimes for Windows to ensure autonomous agents operate within policy-based privacy and security frameworks (filesystem access controls, secure inference routing, network egress controls).
- Partner with internal AI research teams, driver teams, and the open-source OpenClaw community to ensure a robust consumer hardware ecosystem for autonomous agents.
- Mentor other engineers, establish best practices for AI agent deployment, and write reliable, production-ready code.
- Ensure integration of powerful local inference (Nemotron models) with privacy routers and sandboxed execution to help create a desktop AI operating system foundation.
Requirements
- 10+ years of relevant professional software engineering experience, with at least 3+ years in a 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 and practical experience with LLM inference pipelines (examples given: Ollama, Llamacpp, vLLM) and running local models on consumer-grade hardware.
- Experience with GPU-accelerated computing (CUDA, TensorRT) and optimizing inference on NVIDIA GPUs (GeForce RTX).
- Practical experience with modern AI orchestration and agentic frameworks (examples: OpenClaw, Hermes, LangChain) and knowledge of multi-agent system behaviors (planning, acting, tool use).
- 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.
Benefits
- Competitive base salary with ranges specified by level.
- Eligibility for equity and benefits; a generous benefits package is mentioned.
Compensation (as listed)
- Base salary range for Level 4: 184,000 USD - 287,500 USD
- Base salary range for Level 5: 224,000 USD - 356,500 USD
Additional details
- Applications accepted at least until May 15, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes and states commitment to diversity and equal opportunity employment.