Google
Engineering Manager, ML Efficiency, Technical Infrastructure
Found: Today
This role is based in Sunnyvale, CA.
Compensation:
$197,000-$291,000/year + bonus + equity + benefits
Responsibilities:
- Discover and implement new optimization techniques to drive fleet-wide efficiency.
- Deliver end-to-end impact across various resource types, including TPUs, RAM, Spindles, and GCU.
- Lead research into AI-driven optimization strategies.
- Build and maintain partnerships with Google-wide efficiency teams.
- Provide technical guidance and collaborate effectively with tech leads and stakeholders.
Minimum Qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience building and developing large-scale infrastructure or distributed systems.
- 3 years of experience in a people management or team leadership role.
Preferred Qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a structured organization.
