Staff Software Engineer, Vertex GenAI Evaluation Service

Google; Sunnyvale (CA); On-site; USD 207,000 - 301,000; Full time

Job summary

Google is seeking a Staff Software Engineer for its Cloud AI Quality Evaluation team in Sunnyvale, CA. You will lead evaluation frameworks for GenAI, collaborate across model and agent teams, and shape scalable infrastructure to measure model and agent quality.

The role emphasizes ML and GenAI expertise and cross-functional leadership. Responsibilities include architecting scalable evaluation tools, guiding developer experience, and engaging with customers to address usability gaps.

Qualifications

• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience with LLM evaluation, machine learning algorithms and tools, and general generative AI development.
• 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
• Experience building and maintaining scalable production systems.
• Knowledge on enterprise control planes and security horizontals.

Responsibilities

• Operate as a technical expert and leader within the Cloud AI Quality Evaluation team.
• Drive high-quality, scalable evaluation frameworks and tools for GenAI developers and lead features to enable seamless developer experience in each stage of GenAI evaluation.
• Develop and implement strategies for evaluation solutions to measure model and agent quality performance at scale, design infrastructure and product features of the evaluation frameworks to evaluate advanced agent features.
• Collaborate with model and agent quality teams, develop scalable systems, and ensure our evaluation workflow is efficient and provides high quality user experience.
• Engage with customers, investigate and understand product usability gaps, customer pain points, and lead GenAI research.

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering, Computer Science, or a related technical field

Job description

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience with LLM evaluation, machine learning algorithms and tools, and general generative AI development.
• 3 years of experience working in a complex organization involving cross-functional, or cross-business projects.
• Experience building and maintaining scalable production systems.
• Knowledge on enterprise control planes and security horizontals.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will be working with a team of engineers, machine learning experts, etc. in advancing artificial intelligence. The Cloud AI Quality Evaluation team defines success and builds evaluation and optimization harness for Cloud AI LLM products, establishes AutoEval metrics to track quality, and provides clear insights to guide development. We work closely with Google DeepMind Research teams to advance LLM evaluation and bring SOTA evaluation technology to Cloud. As a Staff Software Engineer on this team, you will be at the forefront of building solutions for the model and agent evaluation framework and optimization tools.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

Responsibilities

• Operate as a technical expert and leader within the Cloud AI Quality Evaluation team.
• Drive high-quality, scalable evaluation frameworks and tools for GenAI developers and lead features to enable seamless developer experience in each stage of GenAI evaluation.
• Develop and implement strategies for evaluation solutions to measure model and agent quality performance at scale, design infrastructure and product features of the evaluation frameworks to evaluate advanced agent features.
• Collaborate with model and agent quality teams, develop scalable systems, and ensure our evaluation workflow is efficient and provides high quality user experience.
• Engage with customers, investigate and understand product usability gaps, customer pain points, and lead GenAI research.

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 .