Software Engineer, DevAI

Google LLC; San Jose (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC in San Jose, CA, is hiring a Software Engineer for the Self-Maintaining Codebase (SMC) team to advance the intelligence, reliability, and autonomy of our coding agents.

You will build data and evaluation flywheels for large-scale agentic software engineering, driving automated skill improvement and hillclimbing success across multi-repo tasks, including automated refactoring and proto optimization.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of Python coding experience.
• 2 years of experience with Generative AI.
• 2 years of experience with Large Language Models.
• Familiarity with Google’s AI-driven coding tools.

Responsibilities

• Work on the core feedback loop that drives the intelligence, reliability, and autonomy of our next-generation coding agents.
• Build data and evaluation flywheel for large-scale agentic software engineering: transforming execution trajectories into actionable loss analysis.
• Pioneer automated skill improvement workflows, and hillclimbing agent success rates across complex, multi-repo codebase tasks.
• Focus areas include AI verifier, quality hillclimbing, agent skill auto-improvement, coding agent evaluation, trajectory analysis.
• Note this role will not focus on agent infrastructure.

Skills

Python

Generative AI

LLMs

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related technical fields

Tools

Agentic AI

Evaluation methodologies

Prompt engineering

Google AI coding tools

Code maintenance & migration

Job description

corporate_fare Google place San Jose, CA, USA

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

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience coding with Python.
• 2 years of experience working with Generative AI.
• 2 years of experience working with Large Language Models.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with Agentic AI, Evaluation, and quality hill climbing.
• 2 years of experience with prompt engineering; using, interacting, and evaluating AI Agents or LLMs in the coding space.
• Familiarity with code maintenance, migration, and large-scale changes.
• Familiarity with Google latest AI-driven coding tools.

About the job

As a Software Engineer on the Self-Maintaining Codebase (SMC) team, you will work on the core feedback loop that drives the intelligence, reliability, and autonomy of our next-generation coding agents.

Your mission is to build the data and evaluation flywheel for large-scale agentic software engineering: transforming execution trajectories into actionable loss analysis, pioneering automated skill improvement workflows, and hillclimbing agent success rates across complex, multi-repo codebase maintenance tasks (e.g., automated refactoring, proto optimization, dependency pruning, and Mendel flag deprecation).

Your focused areas include but are not limited to the following: AI verifier, quality hillclimbing, agent skill auto-improvement, coding agent evaluation, trajectory analysis, etc. Note this role will not focus on agent infrastructure. 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

• Deliver innovative agentic-first solutions for a self-maintaining codebase, setting the standards for AI-driven productivity at Google.
• Thrive in ambiguity by embracing rapid iterations to validate assumptions and fail fast.
• Collaborate effectively with distributed teams across DE, US, and IND to define technical roadmaps, promote alignments, and oversee project execution.
• Nurture a vibrant team environment anchored in mutual respect and relentless innovation, fostering a psychologically safe space for professional growth.
• Develop a deep understanding of customer needs to balance the requirements of multiple Product Areas (PAs) and bridge the gap with the SMC offering.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.