Software Engineering Manager II, AI/ML GenAI, Google Cloud AI

About the role

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

Responsibilities

• Set and communicate team priorities that support the broader organization's goals.
• Align strategy, processes, and decision-making across teams.
• Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s).
• Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 2 years of experience in a people management or team leadership role.

Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Skills

Technical skills include proficiency in one or more programming languages (e.g., Python, C, C++, Java, JavaScript), experience with ML design and infrastructure, and knowledge of GenAI techniques and concepts. Leadership skills include experience in managing a team of Engineers and contributing to product strategy.

Benefits

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role. 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 2 years of experience in a people management or team leadership role. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Pay

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits