Senior Software Engineer - AI/ML and Hardware Integration

Google India Pvt Ltd; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Google India Pvt Ltd in Bengaluru seeks a Software Engineer III, AI/ML to join the Agentic AI Platform and Hardware Harness team. You will contribute to ML infrastructure, model deployment, and large-scale systems, collaborating across teams.

This senior role demands practical software development experience, strong problem-solving, and the ability to work on cutting-edge AI technologies that power scalable experiences for billions of users.

Qualifications

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

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on product 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.

Skills

Programming languages

Software development

ML concepts

Education

Bachelor's degree or equivalent

Master's degree/PhD preferred

Job description

Software Engineer III, AI/ML, Agentic AI Platform and Hardware Harness

Minimum qualifications

• 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 related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.

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. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Write product or system development code.
• 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.

Experience Level Senior Level