Intern - GPU / AI Framework

Zama’s mission is to bring end-to-end encryption to AI. Using their homomorphic inference platform, companies can process their customer’s data without seeing it, thereby preventing data breaches and surveillance.

Zama’s solution is based on a breakthrough in homomorphic encryption, which enables evaluating deep neural networks over encrypted data, without changing anything to the network architecture. Zama is open-source by design, as they believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

Zama’s cofounders are Dr Pascal Paillier, one of the most renowned cryptography researcher, and Dr Rand Hindi, a serial entrepreneur who formerly founded Snips.

The AI Framework team is building an open source framework for homomorphic machine learning, which aims to take arbitrary computational graphs and convert them into fully homomorphic equivalents, and execute these graphs in an efficient manner. The goal of the internship is to research, implement, and optimize performance-critical homomorphic operations in the GPU, which form the building blocks used by the framework.

• knowlege of C++ and CUDA
• passionate about privacy and open source

Our process is described in detail here: https://zama.ai/2020/04/28/how-we-hire-at-zama/