AI/ML Training Infra Engineering Lead

Google LLC; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google LLC Sunnyvale, CA is seeking a Share Engineering Manager for AI/ML Training Infra. You will lead a high-performing SWE team designing and launching critical scheduling features for training and inference across Alphabet, partnering with DeepMind, Google Search, YouTube, and more.

In-person interviews are common. You will shape the technical direction for next-generation scheduling infrastructure while balancing architectural health with fast delivery, and you will manage teams across

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Responsibilities

• Lead and manage a high-performing team of Software Engineers focused on the design, implementation, and launch of scheduling features supporting training and inference across Alphabet.
• Set and communicate team priorities and align roadmaps with leadership across teams.
• Develop mid-term technical direction and roadmap within multiple teams’ scope.
• Collaborate with internal customers including DeepMind, Google Search, YouTube, Ads, and Waymo.
• Balance long-term architectural health with immediate business delivery needs.

Skills

Software development

ML design leadership

ML infrastructure

Technical leadership

People management

Education

Bachelor's degree

Master's degree or PhD (preferred)

Job description

Google LLC Sunnyvale, CA is seeking a Share Engineering Manager for AI/ML Training Infra. You will lead a high-performing SWE team designing and launching critical scheduling features for training and inference across Alphabet, partnering with DeepMind, Google Search, YouTube, and more.

In-person interviews are common. You will shape the technical direction for next-generation scheduling infrastructure while balancing architectural health with fast delivery, and you will manage teams across