Senior Software Engineering Manager, TPU Performance

GoogleSunnyvale, CA
85d$248,000 - $349,000

About The Position

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. With the increasing complexity of ML model and ML accelerator architectures, there is a demand for comprehensive analysis and HW/SW Co-Design that can enable cost effective performance and power of future ML systems such as fast iteration and innovation for ML system co-design and improvement, automated HW-friendly model improvement/enablement at scale, understanding on latest business-critical production ML models and full stack ML hardware/software co-design with 10-100X engineering velocity and results, objective and data-driven ground truth to drive innovations and inform ML platform roadmap, performance analysis to inform next-generation ML system and chip architecture using full stack HW-SW design space exploration.

Requirements

  • Proven experience in software engineering and team management.
  • Strong technical expertise in software development.
  • Experience with ML model and ML accelerator architectures.
  • Ability to manage engineers across multiple teams and locations.
  • Experience in large-scale system design and deployment.

Nice To Haves

  • Experience in artificial intelligence and natural language processing.
  • Familiarity with distributed computing and networking.
  • Knowledge of data compression and user interface design.

Responsibilities

  • Provide technical leadership to major projects.
  • Manage a team of Engineers.
  • Optimize your own code and ensure Engineers can optimize theirs.
  • Manage project goals and contribute to product strategy.
  • Oversee deployment of large-scale projects across multiple sites internationally.
  • Conduct comprehensive analysis and HW/SW Co-Design for ML systems.
  • Drive innovations and inform ML platform roadmap.
  • Perform performance analysis to inform next-generation ML system and chip architecture.

Benefits

  • Base salary range of $248,000-$349,000.
  • Bonus and equity options.
  • Comprehensive benefits package.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

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