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Software Engineer, Agentic Validation of Global Correctness

Google

Location
Onsite (San Jose, CA)
Compensation
$147k - $211k/yr
Employment
Full-time
Level
Mid Level
Posted 1 week ago

About the Role

Google's software engineers develop next-generation technologies that connect, explore, and interact with information at massive scale. As part of the Agentic Validation team, you will accelerate the Software Development Life-cycle through AI-driven validation, ensuring high system-wide stability as AI code volume grows.

Skills

Developer Tools Compilers Test Automation Frameworks Software Development Data Structures Algorithms Agentic Systems Accessible Technologies Distributed Computing System Design Artificial Intelligence Natural Language Processing UI Design Integration Testing Debugging Code Review

Benefits

  • medical
  • dental
  • vision

Perks

  • Bonus Target
  • Equity

Full job details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience building developer tools (e.g., compilers, automated releases, code design and testing, test automation frameworks).
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience building or contributing to agentic systems and skills.
  • Experience developing accessible technologies.

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.

As a part of the Agentic Validation team, you will accelerate the Software Development Life-cycle through AI-driven validation. As a Global Correctness work stream member, you will ensure high system-wide stability as AI code volume grows. You will proactively create, update, and execute integration tests to verify generated code works, validate key system attributes like performance and fill gaps in system-level integration tests. You will implement high-value features, for coding agents, this injects quality feedback into the loop, adding an early defense against regressions, and post-deployment, our agents proactively identify and address validation gaps to reduce major outage risks.

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: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.