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, ensuring that open-source AI agents like Nemoclaw and OpenClaw operate efficiently on consumer-grade NVIDIA GeForce RTX GPUs. Your responsibilities include shaping the technical roadmap to enable always-on, self-evolving AI assistants while maintaining robust privacy and security standards. You will collaborate closely with internal research teams and the OpenClaw community to optimize agent runtimes for Windows, fostering a culture of innovation and best practices in AI deployment. Ideal candidates have over 10 years of software engineering experience, including deep expertise in Windows OS internals, GPU-accelerated computing, and modern AI orchestration frameworks such as OpenClaw and LangChain. Proficiency in C++ and Python is essential for building reliable, high-performance systems that integrate seamlessly with consumer hardware.
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.
Integrate Nemotron models with secure inference routing and sandboxed execution on consumer PCs.
Collaborate with internal teams and open-source community to enhance AI ecosystem on Windows.
Mentor engineers and establish best practices for deploying AI agents in production environments.
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 AI models on consumer hardware.
Proficiency in C++ for performance-critical systems and Python for AI logic development.
Experience leading the development of virtualization or sandboxing tools for Windows environments.
Strong understanding of modern AI orchestration frameworks and multi-agent system planning.
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