About the position
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. As an AI/ML Software Engineer, you will be working closely with the Google Kubernetes Engine (GKE) team to get a horizontal view of the way customers use the product and using that experience to help customers and GKE evolve to using more AI/ML strategies in its solution/design philosophy. 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
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Drive closure of technical blockers, removing resistance for customers to use GKE.
- Serve as a triage point for selected AI/ML customer's issues using GKE.
Requirements
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 5 years of experience in distributed cloud computing, including 3 years of experience in containerization and container orchestration technologies such as Google Kubernetes Engine.
- 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
- 3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).
- Experience with machine learning algorithms, machine learning, AI algorithms, coding, system design, software development.
Nice-to-haves
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Benefits
- 401k
- health_insurance
- dental_insurance
- vision_insurance
- life_insurance
- disability_insurance
- paid_holidays
- paid_volunteer_time
- tuition_reimbursement
- professional_development
- employee_stock_purchase_plan
- performance_bonus
- sign_on_bonus
- flexible_scheduling
