Engineering Manager - AI Infra & Large-Scale Systems

Google; Pittsburgh (Allegheny County); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Software Engineering Manager to lead multi-team efforts in Pittsburgh, guiding engineers, shaping project goals, and contributing to product strategy across AI, distributed systems, and large-scale infrastructure.

You will mentor contributors, manage budgets, and coordinate with global partners to ensure performance, reliability, and scalable storage across Google’s AI foundations and product areas.

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.

Responsibilities

• 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.

Skills

Software engineering

Management

Distributed systems

People management

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Software Engineering Manager to lead multi-team efforts in Pittsburgh, guiding engineers, shaping project goals, and contributing to product strategy across AI, distributed systems, and large-scale infrastructure.

You will mentor contributors, manage budgets, and coordinate with global partners to ensure performance, reliability, and scalable storage across Google’s AI foundations and product areas.