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From the employer's careers site First seen 18 May 2026 · Still live on 31 Oct 2026

Senior System Software Engineer - Dynamo-Triton Inference Server

NVIDIA Santa Clara Remote senior full-time

The employer hasn't listed a salary.

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Description

We are looking for a Senior System Software Engineer to work on Dynamo-Triton Inference Server. As a member of our fast-paced team, you will develop world-class GPU-accelerated AI inference serving software. Your responsibilities will include contributing to feature development, driving broad customer adoption, and driving the convergence of the Triton Inference Server and NVIDIA Dynamo stacks.

You will be an active member of the open source deep learning software engineering community. You will balance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimising and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies.

To succeed in this role, you will need:

  • A Master's or PhD in Computer Science or a 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

Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM, would be beneficial. Knowledge of GPU memory management, cache management, or high-performance networking would also be an advantage.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 1, 2026.

Skills

Required

  • Rust
  • C++
  • Python
  • Deep learning software
  • High-scale distributed systems
  • ML systems

Nice to have

  • TensorRT
  • PyTorch
  • ONNX
  • OpenVINO
  • vLLM
  • TRT-LLM
  • GPU memory management
  • Cache management
  • High-performance networking
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