Staff Software Engineer, Machine Learning Compilers, Google Cloud
Remote United States
Full Time Posted 13 days ago
Job Type
Full Time
Job Details
The application window will be open until at least April 26th. This opportunity will remain online based on business needs which may be before or after the specified date.Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:In-office locations: Sunnyvale, CA, USA; Boulder, CO, USA; Kirkland, WA, USA; New York, NY, USA; San Francisco, CA, USA.Remote location(s): United States. Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with performance, systems data analysis, visualization tools, or debugging.
- 5 years of experience working on compilers.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 3 years of experience working on compiler optimization.
- Detailed knowledge of the internal implementations of an ML framework.
- Provide technical leadership on high-impact projects that drive ML compiler performance improvements
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables.
- Design, develop, test, deploy, maintain, and enhance large scale Machine Learning compiler performance solutions.
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