Senior Staff Software Engineer, GeminiApp Infrastructure, DeepMind

We are the Gemini App Horizontal Agentic Platform and Infrastructure team responsible for all aspects of serving and agentic infrastructure for the Gemini App. This ranges from server architecture, query flow and harness to building necessary tools and dashboard to keep the service running. We are a fast-paced organization bringing features from ideation to launch in a matter of months. We are a non-bureaucratic, innovative, bottom-up organization.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

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.

• Build high-quality serving infrastructure by inventing novel solutions, solving complex problems, and providing technical guidance to the team.
• Thrive in a fast-paced environment, calmly adapting to shifting priorities, project uncertainties, and tight deadlines.
• Articulate the team’s goal and charter to executive leadership, and build strong relationships with key stakeholders to ensure strategic alignment across the Gemini App organization.
• Actively cross-pollinate ideas and apply learnings across different projects, contributing to a deeply helpful and collaborative team environment.
• Work and communicate effectively with distributed team members across multiple international time zones to align on priorities and keep projects moving forward.

Minimum qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
• Experience building, scaling, and debugging backend serving infrastructure or LLM-centric architectures.
• Experience leading the technical development and successful launch of high-impact software products, particularly in the AI, ML, or LLM space.

Preferred qualifications:

• Ability to drive multiple high-impact LLM-based product launches at scale within an AI-first company environment.
• Ability to help cross-functional teams navigate complex organizational structures.
• Ability to thrive under high product uncertainty, shifting priorities, and tight timelines.
• Excellent communication, leadership, and problem-solving skills.