The Engineering Manager for ML Performance at Google will lead a team focused on optimizing machine learning infrastructure and performance. This role is critical as the team works on maximizing the efficiency of Google's custom AI chips, known as TPUs, for training and running large-scale AI models. The manager will not only provide technical leadership but also oversee project goals and contribute to product strategy. This position involves collaboration with various teams to enhance performance and drive 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 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.