Software Engineering Manager, TPU/GPU Compilercorporate_fare Google place London, UK Apply MinimumQualifications: - Bachelor’s degree or equivalent practicalexperience. - 8 years of experience in software development in C orC++. - 5 years of experience leading ML design and optimizing MLinfrastructure (e.g., model deployment, model evaluation, dataprocessing, debugging, fine tuning). - 3 years of experience in atechnical leadership role; overseeing projects, with 2 years ofexperience in a people management, supervision/team leadershiprole. - Experience in compiler construction or related fields.Preferred qualifications: - Master’s degree or PhD in Engineering,Computer Science, or a related technical field. - 5 yearsexperience working with compilers or related infrastructure for HPC/ numerical computation. - 3 years of experience working in acomplex, matrixed organization involving cross-functional, orcross-business projects. - Experience with GPU's/TPU's. -Experience in performance analysis and optimization, includingsystem architecture, performance modeling, or other similarexperience. About the job Like Google's own ambitions, the work ofa Software Engineer goes beyond just Search. Software EngineeringManagers have not only the technical expertise to take on andprovide technical leadership to major projects, but also manage ateam of Engineers. You not only optimize your own code but makesure Engineers are able to optimize theirs. As a SoftwareEngineering Manager you manage your project goals, contribute toproduct strategy and help develop your team. Teams work all acrossthe company, in areas such as information retrieval, artificialintelligence, 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 engineersare just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineersacross multiple teams and locations, a large product budget andoversee the deployment of large-scale projects across multiplesites internationally. Our team develops the TPU/GPU compiler usedto partition, optimize and run machine learning models acrossmultiple TPU/GPU devices for internal and external Cloud customers.Our team focuses on working closely with our London-based researchpartners at Google Deepmind (GDM) to world-leading machine-learninghardware and software. Google Cloud accelerates everyorganization’s ability to digitally transform its business andindustry. We deliver enterprise-grade solutions that leverageGoogle’s cutting-edge technology, and tools that help developersbuild more sustainably. Customers in more than 200 countries andterritories turn to Google Cloud as their trusted partner to enablegrowth and solve their most #J-18808-Ljbffr
