Senior System Software Engineer - Dynamo-Triton Inference Server

About this role

We are looking for a Senior System Software Engineer to work on 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. What you'll be doing: 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. What we need to see: MS or PhD in Computer Science or relevant field (or equivalent experience). 5+ 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. 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 from the crowd: Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM. Knowledge of GPU memory management, cache management, o

Apply for this role on NVIDIA’s official careers site.