Software Engineer III, Generative AI, Search AI Labs

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google in Mountain View is hiring software engineers to advance GenAI capabilities and large-scale AI systems. You will work on end-to-end tooling, collaborate with Search teams, and translate requirements into production-ready solutions. This role emphasizes leadership, cross-functional collaboration, and delivering high-quality code.

Successful candidates will have a strong foundation in Python or C++, GenAI techniques, and relevant advanced degrees, with in-person interviews often required.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with Python or C++ programming languages, or 1 year with an advanced degree.
• 2 years of experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models).

Responsibilities

• Deliver end-to-end capabilities to support GenAI development and tooling.
• Collaborate with Search teams to apply LLM tech to improve development velocity.
• Translate user requirements into production-ready tools with PMs and engineers.
• Identify improvements to enhance developer experience and bottlenecks.
• Execute projects aligned with roadmaps and ensure quality and timely delivery.

Skills

Python

C++

GenAI techniques

Education

Bachelor's degree or equivalent

Master's degree or PhD in Computer Science

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in Python or C++ programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models).

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building software solutions utilizing Generative AI agents and Large Language Models (LLMs) and applying them to automation.
• Experience with Search Infrastructure, Search Quality, or large language models (LLMs).
• Experience navigating complex systems, debugging, and resolving difficult technical issues.
• Ability to start in MTV 6 weeks from offer accept.
• Strong communication, leadership, and cross-functional collaboration skills.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Deliver end-to-end capabilities to support GenAI development, including advanced prompt tuning tools, context generation approaches, quality loss mitigation, and new development technologies.
• Partner with broader Search teams to solve complex technical issues, applying LLM technologies to improve Search developer experience and accelerate Search feature development velocity.
• Collaborate effectively with PMs and other engineers to translate user requirements and developer workflows into highly effective, stable, and production-ready tools.
• Identify new areas of improvement, proposing innovative solutions to enhance the developer experience and solve critical bottlenecks in the Search GenAI feature quality hill-climbing process.
• Execute projects in alignment with the team's roadmap, ensuring high-quality code, testing, and timely delivery.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.