System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026

About the role

NVIDIA is seeking a System Software Engineer to work on the Dynamo-Triton Inference Server. This role involves developing world-class GPU-accelerated AI inference serving software, contributing to feature development, driving broad customer adoption, and integrating the Triton Inference Server with NVIDIA Dynamo stacks.

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.
• Ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads.
• 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.

Requirements

• Pursuing or recently completed a MS or PhD in Computer Science or related field (or equivalent experience).
• Excellent Rust or 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.

Qualifications

• Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM.
• Knowledge of GPU memory management, cache management, or high-performance networking.
• Experience with distributed systems programming.
• Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

Skills

• Excellent Rust or C++ skills.
• Familiarity with Python.
• Strong programming & software design skills including debugging, performance analysis, and test design.

Benefits

• Competitive base salary ranging from $124,000 to $195,500 for Level 2, and $152,000 to $241,500 for Level 3.
• Eligibility for equity and benefits.

Pay

• Base salary range: $124,000 - $195,500 for Level 2, and $152,000 - $241,500 for Level 3.

Schedule

• Full-time position.

Application Instructions

• Applications accepted at least until July 17, 2026.

Ways to Stand Out

• Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM.
• Knowledge of GPU memory management, cache management, or high-performance networking.
• Experience with distributed systems programming.
• Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.