Engineering Manager, Hybrid and On-prem AI Infrastructure

Google Google · Big Tech · Warsaw, Poland

Engineering Manager for Hybrid and On-prem AI Infrastructure, focusing on building a novel on-premises AI supercomputer. The role involves technical leadership, team management, defining architecture and roadmaps, and collaborating with product and GTM leaders to deliver AI hardware and software solutions for customers with specific security and locality needs.

What you'd actually do

  1. Contribute significantly to the direction for the Hybrid and On Premises (On-prem) Infrastructure business by assisting in defining and delivering architecture and road map initiatives.
  2. Collaborate with Product and Go-to-Market leaders to implement strategies for our migrate, modernize, and workload efforts.
  3. Work with peer engineers and other managers within Google teams and external partners to influence product and team direction.
  4. Partner with internal cross-functional organizations and external vendors and partners.
  5. Contribute to customer advocacy by understanding user needs and helping to deliver solutions that delight and empower users.

Skills

Required

  • software development
  • developing large-scale infrastructure
  • distributed systems
  • networks
  • compute technologies
  • storage
  • hardware architecture
  • technical leadership
  • people management
  • team leadership

Nice to have

  • Master's degree or PhD in Computer Science or a related technical field
  • working in a complex, matrixed organization

What the JD emphasized

  • on-premises AI supercomputer
  • next evolution of Google's AI accelerators hardware
  • novel solution for customers with sophisticated security and locality requirements
  • building the next generation of AI hardware and the critical software that brings it to life
  • Google Cloud AI Research team
  • AI challenges motivated by Google Cloud’s mission
  • research topics that maximize scientific and real-world impact
  • push the state-of-the-art in AI

Other signals

  • AI accelerators hardware
  • on-premises AI supercomputer
  • next generation of AI hardware
  • critical software that brings it to life
  • Google Cloud AI Research team