Senior System Software Engineer, Dynamo-Triton Inference

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior System Software Engineer to work on Dynamo-Triton Inference Server. You will build and optimize GPU-accelerated AI inference software for production deployments.

Join a fast-paced team shaping a unified, high-performance inference platform that serves both LLM and non-LLM workloads, collaborates with open-source communities, and balances throughput, latency, and reliability in distributed environments.

Qualifications

• MS or PhD in Computer Science or relevant field (or equivalent experience).
• 12+ 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.

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.
• This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads.
• 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

Education

MS or PhD in Computer Science

Job description

NVIDIA Corporation is seeking a Senior System Software Engineer to work on Dynamo-Triton Inference Server. You will build and optimize GPU-accelerated AI inference software for production deployments.

Join a fast-paced team shaping a unified, high-performance inference platform that serves both LLM and non-LLM workloads, collaborates with open-source communities, and balances throughput, latency, and reliability in distributed environments.