As a Principal Engineer at our cutting-edge AI company, you will lead the technical architecture and strategy for deploying advanced AI agent frameworks like Nemoclaw natively on Windows environments, ensuring they run efficiently and securely on GeForce RTX GPUs. Your day-to-day responsibilities include optimizing agent runtimes for system-level sandboxing, minimizing latency with TensorRT and CUDA, and collaborating closely with internal research teams and the open-source community to foster a robust AI ecosystem. You will need deep expertise in Windows OS internals, GPU-accelerated computing, and agentic frameworks, along with proficiency in C++, Python, and TypeScript. This role demands 15+ years of professional software engineering experience, including at least three years in a senior technical leadership position, to tackle the complex challenges of creating an autonomous AI operating system for consumer hardware.
Skills
Windows
C++
Python
TypeScript
CUDA
TensorRT
NVIDIA GeForce RTX
OpenClaw
LangChain
AutoGPT
LLM inference pipelines
Ollama
Llamacpp
vLLM
Virtualization
Containerization
Sandboxing technologies
CI/CD
What you'll do
Lead technical architecture for deploying NemoClaw framework natively on Windows environments.
Optimize agent runtimes for robust privacy and security frameworks on Windows systems.
Design integration of NemoClaw with NVIDIA's hardware stack, minimizing latency and memory footprint.
Mentor senior engineers and establish best practices for AI agent deployment.
Ensure efficient local model execution on GeForce GPUs using TensorRT and CUDA.
Foster collaboration between internal teams and the open-source OpenClaw community.
What we're looking for
15+ years of professional software engineering experience, including at least 3 years in a Principal, Staff, or Lead Architect role.
Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.
Proven expertise in LLM inference pipelines, GPU-accelerated computing (CUDA, TensorRT), and running local models on consumer-grade hardware.
Practical experience with modern AI orchestration frameworks like OpenClaw, LangChain, and AutoGPT.
Proficiency in C++, Python, and TypeScript for performance-critical systems/OS integration, AI logic, and agent plugins/tooling.
Extensive knowledge of NVIDIA GeForce RTX architecture and its constraints and advantages for edge AI.
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $217k
This role $352k
$148k
most similar roles pay here
$462k
This role pays more than
98%
of similar roles. Most pay
$182,762–$250,250
— the shaded band above.
At the midpoint, this role pays about
$352k
versus about
$217k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.