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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Computer Architecture Intern

Snap
Found 2 weeks ago
Location
Eindhoven, Netherlands
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • computer architecture
  • digital design concepts
  • deep learning
  • AI algorithms
  • neural networks
  • computer graphics
  • rendering
  • Python
  • C++
  • PyTorch
  • TensorFlow
  • Unity
  • Unreal Engine
  • event-based processors
  • sensors

Soft Skills

  • Excellent problem-solving skills
  • attention to detail
  • Ability to work collaboratively in a team
  • communicate ideas effectively

Job Description

Our cutting-edge event-based Neural Processing Units (NPUs) are revolutionizing the way data is processed in augmented reality applications, providing unprecedented energy efficiency and speed. You will: Implement, map, and simulate selected neural rendering algorithms on our NPU. Perform performance benchmarking and analysis, documenting and presenting findings to the team. Identify hardware and compiler/training improvements that make our NPU more efficient for neural rendering workloads. Develop proof-of-concept implementations to validate proposed optimizations.

Requirements

  • Currently enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
  • Graduating no earlier than December 2026
  • Must be able to start in office in May or June of 2026 for a 13-week internship

Related Field

  • AI & Machine Learning

Related Subfield

  • Deep Learning

Nice to Haves

  • Experience with deep learning frameworks such as PyTorch and/or TensorFlow is a plus
  • Experience with computer graphics technologies (e.g., Unity, Unreal Engine) is a plus
  • Experience with event-based processors and sensors is a plus
▶Apply Now

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