Software Engineer, Generative AI, Workspace

Minimum qualifications:

• Bachelor's degree in computer science or equivalent practical experience.
• 2 years of experience in software development.
  
• Experience with generative AI, large language models (LLMs), or related machine learning fields.
• Experience in C++, Python, Java, or TypeScript.
  

Preferred qualifications:

• Experience in Generative AI, Generative AI Agent, Google Infrastructure.
• Experience with large-scale distributed systems.
• Ability to grow in an ambiguous environment where requirements and priorities change rapidly.
• Excellent problem-solving skills and analytical abilities.

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. AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

Responsibilities:

• Architect and scale the models and infrastructure powering drive GenAI products and services.
• Collaborate with a team of researchers, engineers, and product managers to develop innovative solutions.
• Lead technical design ownership and project delivery, while collaborating with technical leads to make critical decisions and resolve trade-offs.
• Analyze and debug systems, diving deep into quality metrics and usage patterns to drive improvements.
• Develop high-quality, scalable code, including comprehensive unit and integration tests.