This role pays less than
54%
of similar roles. Most pay
$155,675–$235,750
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$196k
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.
As a Senior System Software Engineer on the GPU-accelerated deep learning software team, you will develop world-class inference serving software for the Dynamo-Triton Inference Server. You will contribute to feature development and drive the convergence of Triton and NVIDIA Dynamo stacks to create a unified platform supporting both Large Language Model and non-LLM workloads. Your daily responsibilities include building robust software for production server or cloud environments, optimizing prediction throughput and latency, and adopting next-generation inference technologies while participating in the open source community. The role requires expert skills in Rust and C++, familiarity with Python, and experience in high-scale distributed systems and machine learning systems. You will utilize tools like TensorRT, PyTorch, ONNX, vLLM, or TRT-LLM to solve complex problems involving GPU memory management, cache management, and high-performance networking for AI model deployment.
What does a System Software Engineer earn in California?
Median $235750 from 37 postings across 4 companies.