The Engineering Manager, ML Performance at Google will lead a team focused on optimizing machine learning training and serving benchmarks for Google's custom AI chips, TPUs. This role involves managing engineers across multiple teams and locations while overseeing large-scale projects. The team aims to maximize the speed and efficiency of AI models, contributing to both internal and external AI initiatives. The position requires a blend of technical expertise and leadership to drive performance improvements and innovations in machine learning.

• 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.
• Experience with ML performance analysis, benchmarking, and computer architecture.

• Lead a team of software engineers focused on identifying and maintaining ML training and serving benchmarks.
• Achieve performance for customer launches and benchmark submissions.
• Use benchmarks to identify performance opportunities and drive optimizations.
• Participate in algorithmic innovations exploiting new TPU hardware features.
• Co-design models that are TPU-friendly to showcase model quality.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.