Senior Software Engineer, Agentic Validation and Developer AI

Google; San Jose (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google is seeking software engineers in San Jose to contribute to next-generation systems that touch billions of users. You will work on projects critical to Google’s needs, with opportunities to switch teams as the company grows and evolves.

The Client Validation team develops AI-native verification platforms and testing infrastructure powering Google's web, mobile, and multiplatform client applications. You will help build runtimes, automation systems, and visual assertion engines to keep

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/Math or related field.
• 5 years of software development in Python, Kotlin, Java, Go, or C++.
• 3 years testing, maintaining, or launching software; 1 year in design/architecture.
• 3 years experience with speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 3 years experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging).

Responsibilities

• Write and test production software for agentic validation platforms and autonomous client testing runtimes.
• Collaborate with peers through design and code reviews to ensure testability, efficiency, code quality, and engineering best practices.
• Contribute to technical documentation and educational content, adapting to platform updates and user feedback.
• Triage, debug, and resolve complex product or system issues across web and mobile stacks.
• Design and implement solutions in specialized ML areas, leveraging ML infrastructure for semantic UI verification and self-healing test remediation.

Skills

Programming languages

Software testing

ML infrastructure

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD preferred

Job description

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Python, Kotlin, Java, Go, C++).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with speech/audio, reinforcement learning (e.g., sequential decision making), ML infrastructure, or another specialized ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Minimum qualifications

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Python, Kotlin, Java, Go, C++).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with speech/audio, reinforcement learning (e.g., sequential decision making), ML infrastructure, or another specialized ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications

• Master's degree or PhD in Computer Science, Mathematics, or a related technical field.
• 5 years of experience with data structures/algorithms applied to client systems, developer infrastructure, or ML pipelines.
• 1 year of experience in a technical leadership role driving architectural standards.
• Experience with client validation platforms, mobile/web UI test automation (e.g., Android/iOS, Espresso), or closed-loop AI agent toolchains.
• Experience developing accessible technologies and UI verification patterns.

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.

The Client Validation team develops the AI-native verification platform and testing infrastructure powering Google’s mission-critical web, mobile, and multiplatform client applications. We build the foundational runtimes, browser/mobile automation systems, and visual assertion engines that ensure products used by billions of people daily remain fast, reliable, and visually flawless.

As AI coding assistants and autonomous code generation models accelerate software creation to superhuman speeds, the primary bottleneck in engineering has fundamentally shifted: writing code is no longer the hardest constraint--verifying that it works, looks right, and integrates cleanly across heterogeneous web and mobile ecosystems is.

In this role, you will lead the architecture and implementation of closed-loop agentic validation infrastructure. Rather than treating testing as a post-build step, your work transforms verification into an active, self-healing feedback loop.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Write and test production software for agentic validation platforms, closed-loop execution harnesses, and autonomous client testing runtimes.
• Collaborate with peers and cross-functional stakeholders through design and code reviews to ensure testability, efficiency, code quality, and engineering best practices.
• Contribute to technical documentation and educational content, adapting materials based on agentic platform updates, spec-driven development standards, and user feedback.
• Triage, debug, and resolve complex product or system issues across web and mobile stacks, analyzing root causes and operational service quality.
• Design and implement solutions in specialized ML areas, leveraging ML infrastructure to advance semantic UI verification and self-healing test remediation.

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 .