Your team will support critical infrastructure for machine learning, search, security, and video processing, giving you an unmatched opportunity to make a massive, global impact.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Manage, mentor, and grow a team of software engineers, fostering a culture of technical excellence and collaboration. Provide regular coaching, performance feedback, and support for career development.
Drive the technical goal and roadmap for software, automation, and diagnostics used in machine management, health testing, and life-cycle management.
Lead your team's efforts in the New Product Introduction process. Ensure all newly turned up hardware is validated, properly configured, and performing as expected without defects.
Provide technical guidance and remain available in key areas, including system design, code reviews, and complex problem-solving.
Drive the development of data insights and analytics to understand complex result sets from diagnostics.
Minimum qualifications
Bachelor’s degree, or equivalent practical experience.
8 years of experience in software development.
3 years of experience with embedded operating systems.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Experience with embedded systems and Linux.
Preferred qualifications
Master's degree or PhD in Computer Science, or related technical field.
3 years of experience working in a complex, matrixed organization.
Experience with ARM, Diagnostics, Networking, Servers, Linux Internals.
Bachelor’s degree, or equivalent practical experience.
8 years of experience in software development.
3 years of experience with embedded operating systems.
3 years of experience in a technical leadership role.
2 years of experience in a people management or team leadership role.
Experience with embedded systems and Linux.
