What are the responsibilities and job description for the Senior Lab Operations Manager, DeepMind position at Google DeepMind?
Minimum qualifications:
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $256000 - $279000 (USD) 20% bonus target equity benefits
Responsibilities
Learn more about benefits at Google .
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in Google Workspace products.
- 6 years in Manufacturing Operations, Production Management, Factory Floor Management or equivalent physical environment.
- Experience with Lean, Six Sigma or equivalent—specifically applied to Research and Development (R&D)/Prototyping environments.
- Proficiency in reading/creating dashboards and defining metrics.
- Ability to speak "Hardware" and "Software" to understand the difference between a firmware brick and a mechanical failure.
- Ability to understand the difference between a firmware brick and a mechanical failure.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $256000 - $279000 (USD) 20% bonus target equity benefits
Responsibilities
Learn more about benefits at Google .
- Own the daily rhythm of the lab with an eye on increasing research velocity. Manage space allocation, equipment scheduling, and workflow optimization to ensure no engineer or technician is ever "blocked."
- Be the metric-owner for "Floor Productivity." Track and optimize Key Performance Indicators (KPIs) such as Lab Uptime, Station Utilization, and Mean Time to Repair (MTTR).
- Take the "wild west" of a Research and Development lab and instill rigorous 5S and Lean methodologies. Ensure that whether a tech is working on various partner robots or a Humanoid prototype, the environment and tools are consistent.
- Take feedback back and forth from operations to other teams to develop clear next steps for the team.
- Build the culture of "safety-first" high performance. Make sure agreed safety protocols are implemented.