Staff Software Engineer, Gemini App, Data Engineering, DeepMind

Join the vanguard of the artificial intelligence revolution at Google DeepMind, where we are redefining the boundaries of human-machine interaction. As a Staff Software Engineer on the Gemini App Data Engineering team, you will be the architect behind the massive data pipelines that power our most advanced multimodal models. This is a rare opportunity to operate at the intersection of cutting-edge research and consumer-facing scale, building the robust infrastructure that allows Gemini to learn, reason, and assist users across the globe in real-time.

We are seeking brilliant, forward-thinking engineers who are eager to solve complex data challenges while pushing the limits of what is possible in generative AI. You will collaborate with world-class researchers and engineers to design scalable, high-performance data systems that serve as the foundation for our next generation of products. At Google, we believe in supporting our innovators with a comprehensive benefits package, including premium health coverage, a competitive 401(k) match, and generous paid time off, ensuring you have the balance and security to focus on your most ambitious work.

If you are passionate about building the systems that will shape the future of technology, there is no better place to start your journey than here. We offer a vibrant, inclusive environment that encourages bold experimentation and professional growth, providing you with the mentorship and resources to turn your technical vision into reality. Come help us build the future of Gemini and contribute to a team that is fundamentally changing how the world interacts with information.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.