Google's Core ML Frameworks team is responsible for large parts of Google's production ML stack, collaborating with Google DeepMind and other teams across Alphabet to build solutions that power the future of AI. They need to address technical challenges that directly impact the performance, efficiency, and scalability of AI across Google, and provide enterprise-grade solutions that leverage Google's cutting-edge technology.
Requirements
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Responsibilities
- Contribute to the development and maintenance of a unified open-source kernel library, creating a home for high-quality, well-tested, easy-to-use, and performant kernels available to both internal and external users.
- Build infrastructure and tooling for kernel development, including benchmarking suites, auto-tuning frameworks, performance analysis tools, debugging tools, and continuous integration pipelines to ensure the correctness and performance of custom kernels across different hardware and model configurations.
- Design, develop, and optimize high-performance custom kernels (using languages like Pallas, Mosaic, and Triton) targeting TPU and GPU architectures for key machine learning operations.
- Investigate and implement custom kernel support for new accelerator hardware generations/features and emerging ML operations.
- Contribute to the documentation and usability of kernel libraries tools to lower the barrier to entry for researchers and engineers looking to write or leverage custom kernels.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or a related technical field.
- US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
