You will own and evolve core APIs and developer experience for the MAX AI platform, focusing on inference and training workflows. This involves designing scalable abstractions, driving technical specifications, and building reference implementations that ensure high performance and usability.
You will lead the technical strategy and architecture for the Mojo compiler backend, including IR lowering, optimization, and code generation. Additionally, you will mentor junior engineers and drive the development of developer-tooling such as debuggers and profilers.
Lead and mentor a team of engineers to manage the end-to-end delivery of hardware accelerator bring-up across the Modular software stack. Collaborate with hardware partners to define technical roadmaps, manage engineering statements of work, and ensure successful project delivery against commercial milestones.
Lead the team building the optimization platform for LLM inference on Modular Cloud to achieve state-of-the-art performance. Partner with GTM and Engineering teams to translate customer workloads into a technical roadmap for full-stack optimizations.
Build and scale an optimization platform to drive state-of-the-art LLM inference performance across GPU and ASIC architectures. Collaborate with GTM and engineering teams to tune inference for specific customer use cases and publish industry best practices.
