This role pays more than
98%
of similar roles. Most pay
$184,975–$246,150
— the shaded band above.
At the midpoint, this role pays about
$352k
versus about
$216k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Principal Engineer, Local AI - Agents and Systems will lead technical efforts to develop advanced AI agent frameworks and local runtimes on Windows environments for GeForce RTX GPUs. This role involves building the technical roadmap for self-evolving assistants, optimizing agent runtimes, and ensuring autonomous agents operate within policy-based privacy and security frameworks including filesystem access and secure inference routing. The position requires expertise in Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture. Key technical requirements include experience with LLM inference pipelines like Ollama, Llama.cpp, and vLLM; GPU-accelerated computing using CUDA and TensorRT; and orchestration frameworks such as OpenClaw, Hermes, and LangChain. The candidate must be proficient in C++ for performance-critical systems and Python for AI logic while developing the foundation of a desktop AI operating system.
What does a Engineer earn in California?
Median $208000 from 94 postings across 22 companies.
C++
Python
CUDA
TensorRT
Ollama
Llama.cpp
vLLM
LangChain
Windows OS
Sandboxing
Containerization
Virtualization
LLM Inference
Multi-agent Systems
NVIDIA GeForce RTX
OpenClaw
Hermes