Job description

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. As part of our team in Core AI Foundations, you will work on a large scale distributed system that is critical for Machine Learning infra at Google scale. Our team has been empowering most of the AI/ML workloads for Ads, Search, and YouTube for years. It is being expanded to support Gemini, GenMedia, Waymo, Workspace, Google Pay, and more and more Product Areas. In this role, you will have infra experience, be outcome driven, have passion for technology, and work in a fast growing environment. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. 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 . • Develop individual contributors into technical leaders and domain owners, guide performance reviews, promotion trajectories, and career advancement. • Serve as the local anchor and culture carrier for the Pittsburgh site, aligning local execution with global multi-site strategy and cross-functional partners. • Partner with technical leads to componentize the stack, aligning our core primitives with shared storage infrastructure across the broader organization. • Evolve systems capable of supporting data growth and intensive write fan-in from distributed training jobs and continuous logging. • Collaborate with premier customer engineering teams (e.g., Gemini Pre-Training, DeepMind, Ads ML, Search, YouTube, Waymo) to translate emerging ML workload patterns into core storage capabilities. • Bachelor's degree or equivalent practical experience. • 8 years of experience in software engineering, management, and distributed systems. • Experience in people management. • Experience with cross-functional collaboration. Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 8 years of experience in software engineering, management, and distributed systems. • Experience in people management. • Experience with cross-functional collaboration. Preferred qualifications: • 10 years of experience with cloud infrastructure (Compute or Storage) and database products, services, and solutions. • Experience with large-scale distributed systems.

Requirements

Must-haves

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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google .
Develop individual contributors into technical leaders and domain owners, guide performance reviews, promotion trajectories, and career advancement.
Serve as the local anchor and culture carrier for the Pittsburgh site, aligning local execution with global multi-site strategy and cross-functional partners.
Partner with technical leads to componentize the stack, aligning our core primitives with shared storage infrastructure across the broader organization.
Evolve systems capable of supporting data growth and intensive write fan-in from distributed training jobs and continuous logging.
Collaborate with premier customer engineering teams (e.g., Gemini Pre-Training, DeepMind, Ads ML, Search, YouTube, Waymo) to translate emerging ML workload patterns into core storage capabilities.
Bachelor's degree or equivalent practical experience.
8 years of experience in software engineering, management, and distributed systems.
Experience in people management.
Experience with cross-functional collaboration.
Bachelor's degree or equivalent practical experience.
8 years of experience in software engineering, management, and distributed systems.
Experience in people management.
Experience with cross-functional collaboration.
10 years of experience with cloud infrastructure (Compute or Storage) and database products, services, and solutions.

Nice-to-haves

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Experience with large-scale distributed systems.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: google
Effort: medium