Google is seeking a Technical Program Manager III to join their Technical Infrastructure team, focusing on Machine Learning initiatives. This role combines technical expertise with project management skills to lead complex, multi-disciplinary projects. The position requires managing GPU/TPU resources and working closely with Product Area partners to optimize resource allocation. The ideal candidate will have strong experience in machine learning, AI, and data analysis, with the ability to work effectively with cross-functional teams.
The role involves working with Software Engineers and Site Reliability Engineers to identify efficiency opportunities and manage resource footprints. You'll be responsible for understanding Machine Learning fundamentals and overseeing the deployment of large-scale ML models. The position requires both technical depth and project management expertise to drive capacity allocations and related processes.
Google's Technical Infrastructure team is crucial in maintaining and developing the architecture that powers Google's extensive product portfolio. They take pride in being the engineers' engineers and focus on keeping networks running optimally to ensure the best user experience. The team works on everything from data center development to building next-generation Google platforms.
The position offers competitive compensation including a base salary range of $142,000-$211,000, plus bonus, equity, and comprehensive benefits. Google is committed to building a diverse and inclusive workplace, offering equal opportunities to all qualified candidates. The role can be based in either New York, NY or Sunnyvale, CA, providing flexibility in location choice while working with teams across the organization.
This is an excellent opportunity for someone who combines technical expertise with program management skills and has a passion for machine learning and infrastructure at scale. The role offers the chance to work on cutting-edge technology while making a significant impact on Google's technical infrastructure.