We are seeking a Technical Program Manager to support the Google DeepMind Robotics research organization by providing robot platforms, lab spaces, data collection and policy evaluation resources to solve 'Embodied AI'.
As a Technical Program Manager on the Robotics Operations team, you will apply program management methodologies to multiple research initiatives to accelerate Google DeepMind's Embodied AI goals in a safe and responsible way.
Key responsibilities include partnering closely with data collection teams, research teams, and the Engineering team to establish and govern internal data collection efforts, ensure seamless delivery of new evaluations and data collections, and oversee design and implementation of new environments for data collection or robot platform modifications.
You will also monitor and report on operational efficiency and resource utilization metrics, evaluate and improve processes, tools, templates, and documentation for repeatability and sustainability, and implement processes and methodologies to reduce operational costs.
To succeed in this role, you must thrive in a fast-paced environment and effectively manage cross-functional teams to deliver exceptional value to and accelerate Google DeepMind's research through strategic cross-functional partnerships.
In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:
- Experience partnering with Research/Engineering leads on high impact, goal-oriented projects.
- Bachelor's degree in an engineering discipline along with equivalent practical experience of 5+ years.
- Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency within development teams.
- Excellent technical understanding and communication ability, with the ability to distill sophisticated technical ideas to their essence.
- Experience in solving complex challenges, implementing scalable and sustainable solutions.
- Knowledge of, or curious to learn about AI/machine learning research.
- Familiar with hardware and software testing and associated safety protocol.
In addition, the following would be an advantage:
- Robotics domain knowledge and experience.
- Master's degree in a relevant field (Robotics/AI).
- Experience managing operational teams.
- Experience in a technical lab or production environment.
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