Senior Software Engineer, ML Infrastructure, Cloud AI

Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

Understand how accelerator compiler and runtimes interact at a high level.

Close infra gaps to help with end-to-end Machine Learning (ML) stack maturation (e.g., reduce a number of ways something is done, improve reproducibility, improve tooling, improve usability).

Develop and apply metrics to understand the problem you are solving and gage status/success as needed.

Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Bachelor’s degree or equivalent practical experience.

5 years of experience with software development in C++.

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 machine learning infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Experience with high performance computing.