Software Engineering Manager, Applied AI

Google

8 - 10 years

Bengaluru

Posted: 26/10/2025

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Job Description

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience with software development in one or more programming languages.
3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging, etc.).
5 years of experience with ML infrastructure, applied ML/AI algorithms, LLMs/multimodal foundation models, NLP, and working with C++/ Python.
5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.

Preferred qualifications:

8 years of experience with data structure and algorithms.
5 years of experience testing, maintaining, or launching software products and 1 year of experience with software design and architecture.
3 years of experience working in a complex organization involving cross-functional or cross-business projects.
Experience with the whole web stack, including protocols and web server optimization techniques.
Experience with large-scale system design, artificial intelligence, or machine learning.

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.

In this role, you will lead the development of cutting-edge conversational AI, enabling developers to build generative AI agents that can engage in complex, open-ended dialogues, and completing autonomous tasks.

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

Lead a team of 8 to 10 engineers.
Design, code, and deploy high-quality software at an accelerated pace. Create rapid prototypes and iterate quickly based on feedback.
Explore and implement new AI/ML technologies.
Work closely with a small, experienced team. Engage in design and code reviews to ensure best practices and foster a culture of continuous improvement.
Design and implement solutions in specialized ML areas and leveraging ML infrastructure.

About Company

Google is a multinational technology company founded in 1998 by Larry Page and Sergey Brin. It is best known for its search engine but also develops products and services in areas like online advertising (Google Ads), cloud computing (Google Cloud), operating systems (Android, Chrome OS), web browsers (Chrome), and consumer electronics (Pixel devices, Nest). Google is a subsidiary of Alphabet Inc., its parent company formed in 2015. It plays a major role in shaping the internet, AI, and digital innovation globally.