Senior GPU Engineer - Homomorphic Cryptography Library

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.

Your team is writing and maintaining a GPU based cryptographic library. You will contribute in making it fast. This library is indeed intended for growing with new cryptographic algorithms. Your main tasks would be to:

• write high performance code on GPUs
• improve existing GPU code to make it faster
• learn from cryptographers that are part of your team
• share knowledge about GPU programming with the team

• solid background in GPU programming (CUDA)
• into open sourcing
• willing to discover cryptography
• team player
• communication skills

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