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

Details

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work.

We are looking for a System Software Engineer to work on the Dynamo-Triton Inference Server. NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users.

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 that serves both Large Language Model (LLM) and non-LLM workloads.
• Be an active member of the open source deep learning software engineering community.
• Balance 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/adopting next‑generation inference technologies.

Requirements

• Pursuing or recently completed an MS or PhD in Computer Science or related field (or equivalent experience).
• Excellent Rust or C++ skills; familiarity with Python.
• Strong programming and 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.

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 contributing to a large open source project: use of GitHub, bug tracking, branching/merging code, handling patches and OSS licensing issues.

Compensation & Benefits

• Base salary range: 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
• Eligibility for equity and company benefits.

Additional Info

• Applications for this job will be accepted at least until July 17, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.