Computer Architecture Intern

Snap Inc.

Actively hiring Posted today Verified listing
Santa Monica, CA Posted today
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Salary context

How this pay compares to similar roles

Similar $179k
$127k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $144,000–$213,531.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 55 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 39 roles with salary data.

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At a glance

TL;DR

Join the AI Core Architecture team at Snap Inc. as a Computer Architecture Intern and contribute to the development of cutting-edge Neural Processing Units (NPUs) for augmented reality applications, focusing on energy efficiency and speed. Your daily tasks will include implementing neural rendering algorithms on NPUs, conducting performance benchmarking and analysis, identifying hardware and compiler improvements, and developing proof-of-concept optimizations. Ideal candidates have a strong background in computer architecture and digital design, along with familiarity in deep learning, AI algorithms, and computer graphics. Proficiency in Python or C++ is essential, while experience with PyTorch, TensorFlow, Unity, Unreal Engine, and event-based processors is beneficial. This 13-week internship requires current enrollment in a PhD program with a December 2026 graduation date or later, starting in May or June 2026.

Skills

Python C++ PyTorch TensorFlow Unity Unreal Engine

What you'll do

  • Implement and simulate neural rendering algorithms on Neural Processing Units (NPUs).
  • Conduct performance benchmarking and analysis for NPUs, documenting results.
  • Identify hardware and software improvements to enhance NPU efficiency.
  • Develop proof-of-concept implementations to validate optimization proposals.
  • Collaborate with the team to improve energy efficiency in augmented reality applications.

What we're looking for

  • Currently enrolled in a PhD program with a focus on Computer Science, Engineering, or related field.
  • Strong background in computer architecture and digital design concepts.
  • Experience with deep learning frameworks like PyTorch and TensorFlow.
  • Proficiency in programming languages such as Python, C++, or similar.
  • Familiarity with computer graphics and rendering technologies.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively in a team environment.

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