The Software Engineering Manager for GPU Reliability at Google will lead a team of engineers focused on optimizing the GPU ecosystem for Google Cloud. This role involves managing project goals, contributing to product strategy, and ensuring the reliability of GPU offerings. The team operates at the intersection of hardware, software, and applied AI, driving AI innovation and delivering computational resources for customers. The manager will collaborate with cross-functional partners to build foundational infrastructure that fuels AI advancements across various industries.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience in leading technical project strategy and optimizing machine learning infrastructure.
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

• Lead, mentor, and grow a team of software engineers.
• Execute technical roadmaps for the GPU ecosystem.
• Oversee the accelerator solution lifecycle and resolve production issues.
• Collaborate with customers to resolve critical challenges.
• Author and review technical specifications to maintain architectural consistency.

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