Software Engineer, AI Infrastructure, Google Cloud

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience with data structures or algorithms.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or in a related technical field.
• 1 year of experience implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.
• Experience developing accessible technologies.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

In this role, you will provide reliable, comprehensive and up-to-date Artificial Intelligence (AI) lineage data in a consistent and organized format. For a given AI model, you will be responsible to record provenance that captures which training datasets were used, how the training data was filtered and transformed, which training code was used, how the model was evaluated, where the model is deployed, and more. Such an "audit trail" has become a requirement for government regulations and launch models and AI-powered products. More broadly, recording comprehensive lineage across the AI ecosystem will make AI research and development more rigorous, reproducible, and efficient, while also providing the cross-tool metrics and insights needed to optimize AI developer workflows.

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 product or system development code.
• 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.
• 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.