Vellex Computing

Details

Positions: Engineering Intern
Location: Remote
Innovation Area: Software and Data Analytics
Position Type: TomKat Center-supported
Compensation: $8,500
Internship Term: 8 weeks

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Vellex Computing is a venture-backed startup developing next-generation hardware to accelerate artificial intelligence and high-performance computing. Spun off from Stanford University and backed by the U.S. Department of Energy and National Science Foundation, we are building a new class of processor designed to overcome the power and latency bottlenecks of traditional digital chips. Our technology enables orders-of-magnitude efficiency gains for critical applications in edge AI, robotics, and industrial optimization.

Responsibilities

Responsibilities vary based on experience and background:

  • Algorithm Profiling: You aren't just building AI models; you are testing how they "behave" on different types of brains (CPUs, GPUs, and custom chips). You’ll measure speed and efficiency to see where the model slows down.
  • The Compiler Stack: Think of this as a high-tech translator. You will help write the software that takes a model from PyTorch (which humans understand) and converts it into specific math instructions that our custom silicon understands.
  • Hardware Simulation: Before we build a physical chip, we build a "digital twin" on a computer. You will use simulation tools to run your AI models on these virtual chips to ensure everything works perfectly before the hardware is actually manufactured.
  • Automation & Bridging: To speed things up, you will write Python scripts that automate the flow of data. This ensures that the software team and the hardware team are always speaking the same language and using the same data during testing.

Who Should Apply

This position is ideal for students currently pursuing a degree in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics or a related technical field. If you are passionate about computer architecture and want to understand how "AI on a chip" actually works, this is for you. We are looking for curious problem-solvers who enjoy working at the intersection of software code and hardware circuitry.

Required expertise

Programming experience, algorithms, AI/ML, machine learning libraries like PyTorch or TensorFlow, C++ for hardware, scripting for automation, hardware simulation, analog computation

Preferred skills/Majors

Background in EE or CS with background or interest in AI/ML/data science