Lead, Emergent AI Infrastructure Engineering

Google; Warszawa; Vor Ort; PLN 640.000 - 655.000; Vollzeit

Zusammenfassung

Google is seeking a Software Engineering Manager to lead multi-site teams working on Emergent AI infrastructure. The role combines technical leadership with people management, guiding engineers across hardware and software projects, and aligning efforts with global teams to deploy new AI systems and products.

Ideal candidates hold extensive experience in large-scale infrastructure and distributed systems, and have a track record of leading engineers to deliver high-impact results across diverse

Qualifikationen

• Bachelor's degree or equivalent practical experience.
• 8 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience in a technical leadership role.
• 5 years of experience in a people management or team leadership role.

Aufgaben

• Lead the Warsaw site teams responsible for adapting and creating hardware and software for new Emergent AI products in close collaboration with other hardware and software teams in the cloud.
• Manage and mentor a team of engineers, providing strategic guidance and fostering professional development.
• Partner closely with tech leads, tech lead managers, and engineering managers across the organization to deliver high-impact results.
• Navigate distributed operations across the US, Asia, and Europe, guiding engineers as they collaborate across continents to build a brand-new AI Infrastructure product.
• Involve in hardware/software strategy and support of external customer needs and issues with the product.

Kenntnisse

Software Leadership

People management

Large-scale infrastructure

Ausbildung

Bachelor's degree or equivalent practical experience

Jobbeschreibung

Google is seeking a Software Engineering Manager to lead multi-site teams working on Emergent AI infrastructure. The role combines technical leadership with people management, guiding engineers across hardware and software projects, and aligning efforts with global teams to deploy new AI systems and products.

Ideal candidates hold extensive experience in large-scale infrastructure and distributed systems, and have a track record of leading engineers to deliver high-impact results across diverse