Software Engineer III, AI/ML Infrastructure, Performance Engineering

Google LLC; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Google LLC in Bengaluru is seeking a Software Engineer III to advance AI/ML infrastructure and performance engineering. You will work on next-generation ML infrastructure, model deployment, and optimization across Google Cloud platforms, contributing to scalable systems for a broad set of product areas.

The role emphasizes collaboration, debugging, and ongoing learning in a fast-paced environment, with opportunities to influence future ML tooling and infrastructure at Google.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of software development experience in one or more programming languages.
• 1 year of experience with ML infrastructure or a related ML field.
• 1 year of experience with ML infrastructure (deployment, evaluation, data processing).

Responsibilities

• Collaborate with peers and stakeholders through design and code reviews.
• Contribute to documentation and educational content.
• Triage issues and debug across hardware, network, or service operations.
• Implement solutions in specialized ML areas and optimize data processing.
• Influence the future of ML Infrastructure at Google and push ML boundaries.

Skills

Software development

ML infrastructure

Speech/Audio

Reinforcement learning

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS/related field

Job description

Software Engineer III, AI/ML Infrastructure, Performance Engineering

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year 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), ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team is part of the Core ML organization which is the central machine learning organization that provides ML software tools and hardware infrastructure to all the Google product areas and is driving ML excellence for Google and the world. Our team is involved in various aspects of AI and infrastructure that are pushing the ML frontier across all of Google. The tooling and engagements provided by our team are often key drivers for several high impact landings.

In this role, you will build and improve the next generation of Machine Learning (ML) Infrastructure at Google.

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

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
• Influence the future of ML Infrastructure at Google, pushing the boundaries of what teams can achieve with generative and discriminative technologies, leaving a lasting impact on the field. Custom kernel debugging and performance tuning background are considered a strong bonus.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.