Senior System Software Engineer - Dynamo-Triton Inference Server

$224k - $357k • US, CA, Santa Clara

Posted 1mo ago

Remote Work Policy

On-site

Categories

AI Infrastructure Engineer

About the job

We are seeking a Senior System Software Engineer to contribute to the development of the Dynamo-Triton Inference Server. This role involves building a highly-performant AI inference platform that makes designing and deploying new AI models easier and more accessible. You will be instrumental in developing world-class GPU-accelerated AI inference serving software, driving feature development, and fostering broad customer adoption. A key aspect of this role is the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to create a unified, high-performance platform capable of serving both Large Language Model (LLM) and non-LLM workloads. You will also be an active participant in the open-source deep learning software engineering community, balancing objectives like building robust production-ready software, optimizing prediction throughput and latency, and adopting next-generation inference technologies.

Responsibilities

  • Develop GPU-accelerated AI inference serving software.
  • Contribute to feature development and drive customer adoption.
  • Converge Triton Inference Server and NVIDIA Dynamo stacks into a unified inference platform.
  • Serve both LLM and non-LLM workloads.
  • Participate in the open-source deep learning software engineering community.
  • Build robust software for production server or cloud environments.
  • Optimize prediction throughput and latency.
  • Develop and adopt next-generation inference technologies.

Requirements

  • MS or PhD in Computer Science or relevant field, or equivalent experience.
  • 12+ years of professional experience in deep learning software.
  • Excellent Rust and 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.
  • Ability to work in a fast-paced, agile team environment.

Benefits

  • Equity
  • Benefits

About nvidia

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