DFINITY is looking for a Senior GPU Engineer to help bring AI hardware acceleration to smart contracts on the Internet Computer. The ideal candidate enjoys solving large, ambiguous problems, is eager to pursue a high-impact mission, and has the vision to shape a new product category.

We believe that the security guarantees of smart contracts can solve one of the most fundamental problems of AI, namely trust in the underlying models. By running training and inference on-chain, the user of an AI model can verify that they are interacting with a trustworthy model. Do you want to be part of this ambitious project and help solve this fundamental problem?

Responsibilities:

• Work on the long-term goal of bringing AI hardware acceleration to smart contracts. This will require research into making deterministic GPU workloads and working with standards such as https://github.com/WebAssembly/wasi-nn.
• Maintain and optimize AI libraries that smart contracts can use for training and/or inference. For example: https://github.com/sonos/tract
• Help define the mid-and long-term roadmap for AI on the Internet Computer.
• Represent DFINITY at conferences and events.

Requirements:

• Engineering: Solid coding skills at Senior Software Engineer level, an urge to solve complex technical problems, attention to detail, numbers- and metrics-based decision making
• GPU Experience: Experience in programming GPUs and a solid understanding of their fundamentals. Preferably experience working with deep learning frameworks.
• Communication: A versatile communicator who can adapt to different stakeholders (researchers, engineers, community). This person should be able to distill the essence of a complex topic so that it can be shared with a wide audience.

* Please note that this role requires in-office work from our amazing office in Zurich 3 days per week.