Senior Staff Software Engineer, GeminiApp Infrastructure
Google DeepMind · Mountain View, CA, USA
Frontier labonsitestaff$262k–$364k
At a glance
Highlights
- Build next-gen serving stack powering the Gemini App at global scale.
- Own query flow, agentic harness, tools and dashboards for reliability.
- Ship AI features from ideation to launch in months in fast-paced team.
What they offer
- 25% bonus target
- equity
- benefits
Ideal candidate
Seasoned backend/infra leader who thrives in fast-moving, ambiguous AI product teams and loves scaling high-impact launches through collaboration and clear executive communication.
Requirements
- Master's degree or PhD in Computer Science, Artificial Intelligence, or related technical field
- Experience building, scaling, and debugging backend serving infrastructure or LLM-centric architectures
- Experience leading technical development and successful launch of high-impact software products in AI, ML or LLM space
- Ability to drive multiple high-impact LLM-based product launches at scale
- 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
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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