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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Generate critical ideas and own the architectural direction for highly ambiguous problem spaces. Maintain a direct approach to coding and system design while setting the standard for engineering excellence.
Act as a technical multiplier. Navigate complex organizational structures to influence technical decisions and align outcomes across various Google Cloud products and distinct engineering organizations.
Apply strong product-thinking to technical issues. Partner closely with engineering and product managers to define the long-term roadmap and ensure our technical capabilities align with customer and business needs.
Provide technical guidance, mentorship, and leadership to engineers across the team, elevating the overall capability and velocity of the organization.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go, etc.).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
Knowledge of data warehouses, big data, SQL, and data governance.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go, etc.).
