The Senior Software Engineering Manager for AI/ML at Google will lead a team focused on optimizing GPU infrastructure for AI workloads. This role involves managing engineers across multiple teams and locations, overseeing large-scale projects, and contributing to product strategy. The team is dedicated to building and maintaining an industry-leading GPU fleet and AI Platform, pushing the boundaries of accelerated computing. The manager will also serve as a technical advocate, collaborating with customers to enhance platform capabilities.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure.
• 5 years of experience in a people management or team/technical leadership role.
• 5 years of experience with one or more of the following: speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field.

• Execute technical roadmaps for the GPU ecosystem around GPU resilience.
• Collaborate with engineering teams to integrate new GPU architectures into Google Compute Engine.
• Grow and lead engineering talent in the GPU space.
• Oversee the lifecycle of accelerator solutions, ensuring consistent performance and stability.
• Serve as a technical advocate during critical issues, collaborating directly with customers to resolve challenges.

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