About Company

Google Cloud AI enables enterprises and developers worldwide to leverage cutting-edge artificial intelligence and machine learning technologies. The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible in hyperscale computing and AI innovation.

About Role

As a Senior Software Engineer for Generative AI at Google Cloud AI, you will design, develop, and optimize large-scale AI systems. You will work on advanced ML infrastructure, model deployment, evaluation, and optimization to power next-generation AI applications across Google products and services.

Key Responsibilities

• Write and test product or system development code for Generative AI systems.
• Participate in or lead design reviews to determine optimal technologies and architectures.
• Review peer code and provide feedback ensuring adherence to best practices in performance, accuracy, and testability.
• Contribute to technical documentation, training, and educational content for internal teams.
• Identify, triage, and resolve complex product or system issues impacting large-scale AI performance.

Functional Competency

• Software Development and System Design
• Machine Learning Infrastructure and Model Deployment
• Generative AI (LLMs, Multi-Modal, Vision Models)
• Data Structures and Algorithms
• Cross-functional Collaboration in Large Organizations

Behavioral Competency

• Problem-Solving and Analytical Thinking
• Technical Leadership and Ownership
• Innovation and Experimentation
• Collaboration Across Teams
• Continuous Learning Mindset

Salary Range

USD 166,000 – 244,000 + bonus + equity + benefits (US base range)

Employment Type

Full-time

Department

Google Cloud – AI and Infrastructure

Benefits

• Competitive salary, performance-based bonuses, and equity
• Comprehensive health, dental, and wellness coverage
• Professional growth and leadership development opportunities
• Inclusive, innovation-driven workplace culture

Culture

Inclusive, innovative, and ownership-driven culture encouraging collaboration, learning, and continuous improvement across global AI teams.

Posted On

2025-10-26