DFINITY is looking for an experienced Senior AI Infrastructure Engineer. In addition to strong engineering skills, this role requires experience building deep learning frameworks and experience with GPU programming and optimization. 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 work with standards such as https://github.com/WebAssembly/wasi-nn and research in deterministic AI computation.
• Maintain and optimize AI libraries that smart contracts can use to perform training and/or inference. For example: https://github.com/sonos/tract
• Help define the mid- and long-term roadmap of AI on the Internet Computer.
• Help identify a product-market fit for AI use cases that require an extra level of trust and “fit into” a smart contract
• Represent DFINITY at conferences and events.
• Help and work with the decentralized AI community of the Internet Computer.

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
• AI Experience: Track record of developing and contributing to deep learning frameworks with real-world adoption. Preferably experience with GPU optimizations and deterministic AI.
• Communication: A versatile communicator that can adapt to different stakeholders (researchers, engineers, community). This person should be able to extract 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