Working on compiler and framework for Meta's custom AI accelerator chip.

Modular is the next-generation AI developer platform unifying the development and deployment of AI for the world.

The next generation of product breakthroughs will be powered by production quality infrastructure that brings together the best of compilers and runtimes, is designed for heterogeneous compute, edge to datacenter distribution, and is focused on usability. Unifying software and hardware with a "just works" approach that will save developers enormous time and increase their velocity.

We are incredibly excited about the mission before us, backed by some of the best investors in the world and if you are interested in joining us - just reach out via www.modular.com/careers.

Skills: MLIR · C++ · Python · CMake

Developing ML infrastructure for training Graph Neural Networks at scale. Building a framework to train on graph data with more than 500 million nodes.

• Research under Prof. Eric Xing to investigate methods for accelerating large-scale model training using parameter reduction.

• Developing solutions to reduce the communication overhead in the distributed training of large-scale models, leveraging matrix factorization and sparsification methods.