Engineering Manager, AI Compute Platforms

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

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.