As a Senior Engineer in our cutting-edge AI team, you will lead the development of advanced agent frameworks and local runtimes for Windows environments on NVIDIA GeForce RTX GPUs. Your responsibilities include shaping the technical roadmap to ensure open-source AI agents like Nemoclaw and OpenClaw operate efficiently and securely on consumer PCs. You will optimize agent runtimes, enforce strict privacy and security policies, and collaborate with internal research teams and the OpenClaw community to foster a robust ecosystem for autonomous AI assistants. This role requires 10+ years of software engineering experience, including deep knowledge of Windows OS internals, GPU-accelerated computing, and modern AI orchestration frameworks. Proficiency in C++ and Python is essential, along with expertise in virtualization and sandboxing technologies to ensure reliable, production-ready code for the next generation of desktop AI systems.
Skills
Windows
C++
Python
CUDA
TensorRT
OpenClaw
Hermes
LangChain
LLM inference pipelines
NVIDIA GeForce RTX GPUs
Sandboxing technologies
System-level security architecture
Virtualization
Containerization
CI/CD
What you'll do
Lead development of agent frameworks natively on Windows environments for GeForce RTX GPUs.
Optimize AI agent runtimes for Windows, ensuring robust privacy and security compliance.
Collaborate with internal teams and open-source communities to enhance AI ecosystem on consumer hardware.
Mentor engineers and establish best practices for deploying AI agents in production.
Ensure Nemotron models operate efficiently with secure inference routing and sandboxed execution.
What we're looking for
10+ years of professional software engineering experience, including at least 3 years in a lead technical role.
BS/MS/PhD in Computer Science or related field with deep knowledge of Windows OS internals and security architecture.
Expertise in LLM inference pipelines, GPU-accelerated computing, and running local models on consumer hardware.
Experience with AI orchestration frameworks like OpenClaw and proficiency in C++ and Python for system integration and AI logic.
Proven ability to build virtualization or sandboxing tools natively for the Windows ecosystem.
Strong collaboration skills, including mentoring engineers and establishing best practices for AI agent deployment.
Market check
Salary context
This
$184,000–$287,500
range sits above
68%
of similar postings on FindRole.
Peer median band
$170,850–$258,725
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$166,670–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.
Python
Java
API integration
LLM application engineering
AI agent development
Workflow automation
Evaluation and testing of AI systems
SQL
Debugging and troubleshooting
Prompt and tool orchestration
Structured outputs and validation