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

NVIDIA is seeking a System Software Engineer to work on the Dynamo-Triton Inference Server. As an NVIDIAN, you will be part of a team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users.

The successful candidate will develop world-class GPU-accelerated AI inference serving software, contribute to feature development, and drive broad customer adoption. They will also drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform.

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.

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.

Preferred 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.

NVIDIA offers equity and benefits to its employees.