Senior Staff Software Engineer, GenAI Ads & LLMs (Equity)

Google LLC; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Senior Staff Software Engineer for Generative Retail Ad Formats and LLM Applications. You will lead large-scale software projects, architect end-to-end systems, and advance GenAI capabilities across ads, shopping, and search products.

The role requires deep expertise in ML/AI, LLM deployment, and cross-functional collaboration, with a focus on delivering high-impact retail ad experiences to billions of users.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years software development experience in one or more programming languages.
• 8 years testing, maintaining, or launching software products.
• 5 years of experience with software design and architecture.
• 8 years of ML/AI algorithms and tools, deep learning or other modeling.
• 7 years leading technical project strategy, ML design, and ML infrastructure.
• 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models, language modeling).

Responsibilities

• Lead priorities, deadlines, and deliverables for complex projects.
• Design, develop, test, deploy, and maintain software solutions at scale.
• Collaborate with Ads, Commerce, and Search stakeholders to drive cross-functional impact.
• Own holistic technical architecture and multi-quarter, cross-team initiatives.

Skills

Software development

Data structures & algorithms

ML/AI algorithms

Deep learning

GenAI / LLMs

Project leadership

Education

Bachelor's degree or equivalent

Job description

Google LLC in Mountain View, CA is seeking a Senior Staff Software Engineer for Generative Retail Ad Formats and LLM Applications. You will lead large-scale software projects, architect end-to-end systems, and advance GenAI capabilities across ads, shopping, and search products.

The role requires deep expertise in ML/AI, LLM deployment, and cross-functional collaboration, with a focus on delivering high-impact retail ad experiences to billions of users.