Software Engineer III, AI/ML, AI and Infrastructure

Experteer Overview As a Software Engineer on Google’s AI and Infrastructure team, you will ship scalable AI-enabled systems and contribute to core infrastructure. You’ll collaborate across teams to review designs, improve code quality, and help translate research into reliable, production-grade software. You will triage and debug issues impacting hardware, networks, and services, and optimize models and data processing pipelines. This role blends software engineering with ML deployment and infrastructure to power Google Cloud and global services. Compensation / Benefits * Collaborate with peers and stakeholders through design and code reviews to promote best practices * Contribute to existing documentation and adapt content for updates and user feedback * Triage issues, analyze impact, and debug to maintain service quality across hardware, network, and systems * Implement ML solutions and work with ML infrastructure, including model optimization and data processing * Engage in model deployment, evaluation, and optimization within ML infrastructure * Contribute to development across the full stack for scalable AI systems * Work on projects critical to Google’s needs with opportunities to switch teams as the company evolves Tasks * 2 years of experience programming in Python or C++ * 1 year of experience with ML areas (speech/audio, reinforcement learning, ML infrastructure, or related field) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) Key requirements * 12%+ bonus target * equity * comprehensive benefits * career growth opportunities * access to cutting-edge AI technologies * flexible work options

AI-enabled evaluation, and optimization within ML infrastructure * Contribute to development across the full stack for scalable AI systems * Work on projects critical to Google’s needs with opportunities to switch teams as the company evolves Tasks * 2 years of experience programming in Python or C++ * 1 year of experience with ML areas (speech/audio, reinforcement learning, ML infrastructure, or related field) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) Key requirements * 12%+ bonus target * equity * comprehensive benefits * career growth opportunities * access to cutting-edge AI technologies * flexible work options