Job Summary:
Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges. They are seeking a Technical Program Manager to drive improvements in hardware ecosystem utilization and data collection efficiency, manage technical execution for live hardware demonstrations, and collaborate with global teams to enhance data quality processes.
Responsibilities:
• Drive significant improvements in diverse hardware ecosystem utilization and data collection efficiency through comprehensive analyses and regular reporting.
• Achieve high-performance efficiency peaks through optimized vendor processes and accountability reviews within the diverse hardware ecosystem. This includes managing technical ambiguities across varying levels of hardware phases.
• Create processes and dashboards to measure and track standardization of data collection and measurement of the data quality. Sync weekly with all global sites and align on the data they are collecting. Strive to always improve and iterate on our data collection processes and work closely with our Machine learning team to make sure the project is aligned.
• Serve as the primary technical lead for onsite hardware demos, logistics planning, troubleshooting, and live execution. Collaborate with the logistics manager to execute a logistics plan for each event and verify technical readiness for robotics demonstrations at global conferences and industry events.
• Ensure all demo-specific hardware is maintained to the highest standards, serving as a first-responder for critical debugging windows during live events. Oversee the expansion of diverse hardware ecosystem capabilities and add additional platforms efficiently.
Qualifications:
Required:
• Bachelor's degree in mechanical engineering, industrial design, manufacturing, a related field, or equivalent practical experience.
• 5 years of experience in technical program management.
Preferred:
• Experience managing hardware-software integrations, diverse hardware ecosystems, or robotics testing environments.
• Experience with data quality analysis, metric-driven optimization, and creating technical dashboards to track operational efficiency.
• Ability to travel and lead technical execution for live hardware demonstrations and industry conferences.
Company:
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google. Founded in 2010, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.