Software Engineer III, AI/ML, Google Cloud

This opportunity will remain online based on business needs and may close before or after August 14, 2026. In-person interviews are typically required as part of the hiring process. Preferred working locations: Sunnyvale, CA, USA; Kirkland, WA, USA; Boulder, CO, USA.

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. As a software engineer on the AI and Infrastructure team, 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.

The AI and Infrastructure team empowers Google customers with breakthrough capabilities and insights by delivering AI and infrastructure at unparalleled scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We drive innovations in AI models, computing power, and developer platforms, shaping the future of hyperscale computing through TPUs, Vertex AI for Google Cloud, Google Global Networking, data center operations, systems research, and more.

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.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience programming in Python or C++.
• 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 or algorithms.
• Experience developing accessible technologies.

Benefits

• Health, dental, vision, life, and disability insurance.
• Retirement benefits: 401(k) with company match.
• Paid time off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• Sick time: 40 hours/year (increased to 69 hours/year for Seattle), including 5 discretionary sick days per instance.
• Maternity leave (short-term disability + baby bonding): 28-30 weeks.
• Baby bonding leave: 18 weeks.
• Holidays: 13 paid days per year.

Pay

US: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits.