Software Engineer, DevAI
Google, San Jose, California
- Pay
- $147K–$210K / year
- Work type
- Onsite
- Level
- Not stated
- Area
- Software engineering
- Posted
- 24 days ago
About the role
MINIMUM QUALIFICATIONS:
* 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
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* 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.
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Listed; checked 26 h ago. First seen by us 26 h ago. Being listed doesn't mean the team is actively interviewing.