ML Accelerator Fleet Efficiency Lead Manager

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

Job summary

Google Sunnyvale seeks a Tech Lead Manager for the ML Accelerator Fleet Efficiency initiative. You will lead multiple teams, own ML infrastructure deployment at scale, and drive strategic decisions to maximize compute efficiency while preserving developer velocity.

You will mentor engineers, align roadmaps with product goals, and collaborate with cross-functional partners across Google Cloud to deliver impact.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 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 people management or team leadership.

Responsibilities

• Drive technical strategy, roadmaps, and adoption for large-scale ML infrastructure development.
• Innovate next directions for infrastructure over a 12-month horizon in a rapidly changing tech landscape.
• Exercise sound engineering judgment to guide sustainable engineering choices for ML systems at scale.
• Seek opportunities to drive efficiencies in ML workloads using scaling and related techniques.
• Lead a team of ~10 engineers to develop solutions that drive ML workload efficiency.

Education

Bachelor’s degree or equivalent practical experience

Job description

Google Sunnyvale seeks a Tech Lead Manager for the ML Accelerator Fleet Efficiency initiative. You will lead multiple teams, own ML infrastructure deployment at scale, and drive strategic decisions to maximize compute efficiency while preserving developer velocity.

You will mentor engineers, align roadmaps with product goals, and collaborate with cross-functional partners across Google Cloud to deliver impact.