Software Engineering Intern, Jax - Fall 2026

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Internship role focused on developing performance optimizations for deep learning frameworks using JAX, contributing to core components and tools for the NVIDIA AI platform.

What you'd actually do

  1. Make meaningful contributions to JAX by designing and implementing core components that drive phenomenal performance on the NVIDIA AI platform.
  2. Increase the efficiency of teams developing JAX-based systems by develop tools that streamline the application of deep learning research and simulations to real-world products.

Skills

Required

  • Pursuing a MS or PhD in Computer Science, Computer Engineering or equivalent program area.
  • Understanding of JAX, Autograd, tracing, code generation and DSL compilers
  • Working proficiency in Python, familiarity with C++
  • Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

Nice to have

  • Familiar with distributed systems, services, or Deep Learning at large scale
  • Ability to work optimally with multi-functional teams
  • Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design

What the JD emphasized

  • JAX
  • deep learning

Other signals

  • developing sophisticated performance optimizations for deep learning frameworks using JAX
  • designing and implementing core components that drive phenomenal performance on the NVIDIA AI platform
  • Increase the efficiency of teams developing JAX-based systems by develop tools that streamline the application of deep learning research and simulations to real-world products