Senior Software Engineer, Generative AI
Sunnyvale, CA, USA +1 · Senior · Full-time · Posted Oct 26, 2026
- Location
- Sunnyvale, CA, USA
New York, NY, USA - Experience
- 5 years in software development; 3 years in software product testing, maintenance, or launch; 1 year in software design and architecture; 3 years in end-to-end machine learning; 1 year in GenAI techniques or related concepts. Preferred: 5 years in software development, or 1 year in an industry setting with an advanced degree; 5 years with data structures and algorithms; 3 years in complex, matrixed cross-functional or cross-business projects; 3 years with ML/AI algorithms and tools, deep learning, or natural language processing.
- Education
- Bachelor’s degree or equivalent practical experience; a Master’s degree or PhD in Computer Science or a related technical field is preferred.
About the job
Builds and maintains the Workspace AI platform and agentic features that use Google’s generative AI models and infrastructure to support Google Workspace products.
What you'll do
- Write and test product or system development code; participate in design reviews and review peers’ code.
- Contribute to documentation and educational content, adapting it to product updates and user feedback.
- Triage, debug, track, and resolve product or system issues.
What they ask for
- Bachelor’s degree or equivalent practical experience.
- 5 years of software development experience in one or more programming languages.
- 3 years testing, maintaining, or launching software products, plus 1 year of software design and architecture experience.
- 3 years of end-to-end machine learning experience and 1 year of experience with GenAI techniques or related concepts.
Nice to have
- Master’s degree or PhD in Computer Science or a related technical field.
- Experience with data structures and algorithms, complex cross-functional projects, or ML/AI algorithms and tools, deep learning, or natural language processing.
Pay
$174000 - $252000 (USD) base salary
Tools
GenAI, LLMs, Multi-Modal, Large Vision Models, language modeling, computer vision, deep learning, natural language processing
AI focus
Applies generative AI models and infrastructure to Workspace products, including agentic features; involves end-to-end machine learning and GenAI techniques or concepts.
Model-written summary · the original posting is authoritative