Senior Staff Software Engineer, AI/ML, Google Cloud

Responsibilities

• Execute technical roadmaps for the GPU ecosystem, anticipating market shifts to keep Google Cloud at the forefront of AI infrastructure.
• Collaborate with engineering teams to integrate new GPU architectures into Google Compute Engine (GCE) for rapid workload availability.
• Oversee the lifecycle of accelerator solutions, guaranteeing consistent performance and stability for user applications.
• Serve as a technical advocate during critical issues, collaborating directly with customers to resolve challenges and translating their feedback into platform enhancements.
• Design robust software solutions meeting the massive scalability and performance requirements of Google Cloud’s global network.
• - Execute technical roadmaps for the GPU ecosystem, anticipating market shifts to keep Google Cloud at the forefront of AI infrastructure. - Collaborate with engineering teams to integrate new GPU architectures into Google Compute Engine (GCE) for rapid workload availability. - Oversee the lifecycle of accelerator solutions, guaranteeing consistent performance and stability for user applications. - Serve as a technical advocate during critical issues, collaborating directly with customers to resolve challenges and translating their feedback into platform enhancements. - Design robust software solutions meeting the massive scalability and performance requirements of Google Cloud’s global network.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree or equivalent practical experience. - 8 years of experience in software development. - 7 years of experience leading technical project strategy, ML design, and optimizing industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). - 5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: - Master’s degree or PhD in Engineering, Computer Science, or a related technical field. - 8 years of experience with data structures and algorithms. - 5 years of experience in a technical leadership role leading project teams and setting technical direction. - 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.