Software Engineering Intern

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Intern
Posted
37 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $164k
$117k most similar roles pay here $211k

This listing doesn't post a salary. Most similar roles pay $126,312–$201,825.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Software Engineering Intern

Software Engineering Intern, Dynamo - Fall 2026 will join the team developing an open-source platform for efficient, scalable inference of large language and reasoning models in distributed GPU environments. This role focuses on solving complex problems in distributed AI infrastructure, specifically involving the Dynamo Kubernetes serving platform, disaggregated serving, dynamic GPU scheduling, intelligent routing, and distributed KV cache management. You will design and optimize components using Rust and Python, contribute to the Python SDK and Rust Runtime Core Library, and support inference engines like vLLM, SGLang, TRT-LLM, and llama.cpp. The role requires proficiency in Golang, Rust, or Python, along with strong skills in data structures, algorithms, and RESTful APIs. You will also engage in open-source development, including code reviews, issue triage on GitHub, and evolving framework architectures to improve high-performance AI inference for demanding applications.

What you'll do

  • Design and develop the Dynamo Kubernetes serving stack.
  • Implement and optimize distributed inference components using Rust and Python.
  • Develop new features for the Dynamo Python SDK and Rust Runtime Core Library.
  • Build disaggregated serving for engines like vLLM, SGLang, TRT-LLM, and llama.cpp.
  • Improve intelligent routing and KV-cache management subsystems.
  • Contribute to open-source repositories and manage GitHub issue triage.
  • Evolve framework APIs and architecture based on community feedback.

What we're looking for

  • Pursuing a BS, MS, or PhD in Computer Science or an equivalent program area.
  • Excellent programming and software design skills in Golang, Rust, and/or Python.
  • Proficiency in debugging, performance analysis, service health analysis, and test design.
  • Strong understanding of algorithms, data structures, and RESTful APIs.
  • Experience with machine learning or NLP concepts is preferred.
  • Experience in software shipping cycles including development, deployment, release, and CI.
  • Experience in open-source software development and community engagement.
  • Experience with inference engines like vLLM, SGLang, TensorRT-LLM, or similar tools.

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