Engineering Manager, Google AI Compute

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Software Engineering Manager in Mountain View, CA to lead multiple teams across AI-enabled platforms. You will guide project goals, contribute to product strategy, and help develop engineers while overseeing large-scale systems and cross-functional collaboration.

Responsibilities include API design, infrastructure scaling, mentoring engineers, and setting standards for quality and observability across services, with a global impact across products and platforms.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Architect and evolve the platform’s APIs and core runtime capabilities to support AI usage flows for products like Gemini and Antigravity.
• Scale infrastructure to maintain availability, sub-millisecond validation latencies, and absolute transactional accuracy at extreme scale.
• Lead, grow, and mentor a team of software engineers, fostering a collaborative and high-velocity engineering culture.
• Define and enforce standards for code quality, testing, monitoring, and deep observability across all services on the critical path.
• Collaborate cross-functionally with product, engineering, marketing, and data science teams to identify and prioritize growth opportunities.

Skills

Software development

Technical leadership

People management

Generative AI integration

Java

ML inference

Distributed systems

System architecture

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Tools

Spanner

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.
• Experience integrating generative AI tools or LLM interfaces into workflows.

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 large-scale distributed systems and software architecture.
• Experience with database systems such as Spanner.
• Experience programming in Java and working with ML inference.

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. Google One (G1) is Google's membership for personal cloud storage and Google's cutting-edge AI features. G1 is one of Google's fastest growing subscriptions, with over 150 million subscribers. This is a unique opportunity to be part of a high-impact team, shaping the future of our subscriber experiences, premium features and business growth initiatives. 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

Responsibilities

Learn more about benefits at Google .

• Architect and evolve the platform’s APIs and core runtime capabilities to support AI usage flows for products like Gemini and Antigravity.
• Scale infrastructure to maintain availability, sub-millisecond validation latencies, and absolute transactional accuracy at extreme scale.
• Lead, grow, and mentor a team of software engineers, fostering a collaborative and high-velocity engineering culture.
• Define and enforce standards for code quality, testing, monitoring, and deep observability across all services on the critical path.
• Collaborate cross-functionally with product, engineering, marketing, and data science teams to identify and prioritize growth opportunities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .