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

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company harnessing AI to revolutionize computing. They are seeking a System Software Engineer to develop GPU-accelerated AI inference software, contributing to the Triton Inference Server and ensuring high-performance for various AI worklo.

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

• 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
• 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

Benefits

• Equity
• Benefits

Company Overview

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