Software Engineering Manager, AI/ML
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), Machine Learning (ML) infrastructure, or in a related ML field.
- 5 years of experience in 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 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 with working in a matrixed organization involving cross-functional, or cross-business projects.
- Experience in working on AI/ML or Generative AI systems.
- Experience with Generative AI model inference, prompt engineering and approaches using Learnable Feature Matchings (LFMs) (e.g., Code assist, Vibe coding).
About the job
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. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Application Design Center (ADC) is a Google Cloud Platform (GCP) tool that simplifies the process of designing, deploying, and managing applications. It offers a visual design canvas, a library of pre-built templates, and integration with development tools. ADC helps developers create applications faster, empowers users of all skill levels, and improves collaboration and security. It allows users to start from a natural language prompt, a template, or from scratch, and it generates the necessary code for deployment.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Engineer and develop a platform for designing and deploying enterprise applications in the Application Design Center (ADC).
- Collaborate with cross-functional stakeholders, and other engineering teams to ensure that cloud-based applications are developed and rolled out.
- Utilize a variety of technologies, including Go, Java, Angular.js, Terraform, and other Artificial Intelligence/Machine Learning (AI/ML) and Google technologies, to design and develop solutions.
- Contribute to the design and implementation of features that enhance the ADC's capabilities.
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