The Engineering Manager for ML Performance at Google will lead a team focused on optimizing machine learning training and serving benchmarks. This role is part of the TPU Performance team, which aims to maximize the efficiency of Google's custom AI chips for large-scale AI/ML models. The manager will oversee project goals, contribute to product strategy, and ensure that engineers can optimize their code effectively. This position involves collaboration with both internal teams and external AI companies to enhance performance and drive innovation.

• 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.