Software Engineering Intern, JAX - Fall 2026

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Intern
Posted
43 days ago

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Similar $164k
$114k most similar roles pay here $209k

This listing doesn't post a salary. Most similar roles pay $135,000–$192,625.

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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Software Engineering Intern, JAX - Fall 2026

As a senior developer on our cutting-edge team, you will contribute to the advancement of JAX by designing and implementing core components that enhance performance on the NVIDIA AI platform. Your daily tasks will include developing tools to streamline deep learning research and simulations for real-world applications, thereby boosting efficiency across teams working with JAX-based systems. Ideal candidates possess a strong background in Computer Science or related fields, along with expertise in Python and familiarity with C++. You should also have a solid understanding of JAX, Autograd, tracing, code generation, and DSL compilers, as well as experience with machine learning frameworks like PyTorch and TensorFlow. Additionally, knowledge of distributed systems, services, and deep learning at scale is crucial, along with the ability to collaborate effectively in multi-functional teams.

What you'll do

  • Design and implement core components of JAX for high-performance machine learning.
  • Develop tools to enhance efficiency in JAX-based deep learning system development.
  • Streamline the application of deep learning research to real-world products using JAX.
  • Contribute to performance optimizations for deep learning frameworks on NVIDIA AI platform.
  • Work with multi-functional teams to push boundaries in AI and scientific computing.

What we're looking for

  • Pursuing a MS or PhD in Computer Science, Engineering.
  • Proficient in Python and familiar with C++.
  • Understanding of JAX, Autograd, tracing, code generation, DSL compilers.
  • Knowledge of machine learning frameworks like PyTorch, TensorFlow.
  • Experience with distributed systems and deep learning at scale.
  • Strong technical foundation in CPU/GPU architectures, numeric libraries.
  • Excellent verbal and written communication skills.

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