Software Engineering Manager, TPU/GPU Compiler

Google
London
2 months ago
Applications closed

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Software Engineering Manager, TPU/GPU Compiler

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Minimum Qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development in C or C++.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
  • Experience in compiler construction or related fields.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 5 years experience working with compilers or related infrastructure for HPC / numerical computation.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with GPU's/TPU's.
  • Experience in performance analysis and optimization, including system architecture, performance modeling, or other similar experience.

About the job

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.

Our team develops the TPU/GPU compiler used to partition, optimize and run machine learning models across multiple TPU/GPU devices for internal and external Cloud customers.

Our team focuses on working closely with our London-based research partners at Google Deepmind (GDM) to world-leading machine-learning hardware and software.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most

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