Senior GPU AI Inference Systems Engineer

NVIDIA; California (MO); On-site; USD 196,000 - 288,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

NVIDIA is seeking a Senior System Software Engineer to work on Dynamo-Triton Inference Server. You will develop GPU-accelerated AI inference serving software and drive the convergence of NVIDIA Dynamo and Triton stacks for a unified, high-performance platform.

You will contribute to new features, optimize performance, and engage with the open-source community while balancing throughput and latency in production environments.

Qualifications

• MS or PhD in Computer Science or a relevant field (or equivalent experience).
• 5+ years of professional experience working on deep learning software.
• Excellent Rust & C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design.
• Experience with high-scale distributed systems and ML systems.
• Strong communication skills and ability to work in a fast-paced, agile team environment.

Responsibilities

• Develop world-class GPU-accelerated AI inference serving software.
• Contribute to feature development and drive broad customer adoption.
• Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform.
• Be an active member of the open source deep learning software engineering community.
• Balance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimizing and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies.

Skills

Rust

C++

Python

Distributed systems

Education

MS or PhD in Computer Science

Tools

TensorRT

PyTorch

ONNX

OpenVINO

vLLM

TRT-LLM

GitHub

Job description

NVIDIA is seeking a Senior System Software Engineer to work on Dynamo-Triton Inference Server. You will develop GPU-accelerated AI inference serving software and drive the convergence of NVIDIA Dynamo and Triton stacks for a unified, high-performance platform.

You will contribute to new features, optimize performance, and engage with the open-source community while balancing throughput and latency in production environments.