Senior Software Engineer, Developer AI Research

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.

Developer AI (DevAI) Research aims to advance the state of the art in AI-assisted development both inside Google and within the computing field as a whole. We research new techniques across the domains of agent design, capabilities, and observability; benchmarking methods and metrics; formal and semi-formal reasoning; and human-agent collaboration, all in the service of understanding current performance and breaking new ground in high-performance, reliable, and transparent AI usage within Google’s development environment. We share our knowledge broadly, both within Google and in external publications.

Application Instructions:

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

Learn more about benefits at Google.

• Articulate a long-term direction for progress in AI-assisted development and a road map for achieving that direction.
• Design, evaluate, and deploy novel techniques for accelerating development at Google through the application of state-of-the-art AI techniques.
• Develop novel neurosymbolic techniques for accelerating the Software Development Life Cycle (SDLC) lifecycle and producing more-robust software.
• Collaborate within the team, across the organization, and with cross-functional partners to guide projects from initial research to successful launch.
• Share novel results and publish findings within the broader research community.

Minimum qualifications:

• Bachelor's degree in Computer Science, Machine Learning, or equivalent practical research experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of research experience in artificial intelligence, machine learning, or software engineering research (e.g., deep learning, LLMs, program analysis/synthesis).

Preferred qualifications:

• PhD degree in Computer Science, Machine Learning, or equivalent practical research experience.
• First-author publications in conferences in software engineering (ICSE, FSE, ASE), programming languages (PLDI, POPL), or machine learning/NLP (NeurIPS, ICML, ICLR, ACL, EMNLP).
• Experience with landing deep learning/LLM-based products or platforms.
• Experience with SOTA methods for software verification (e.g., Lean, Dafny) and safe systems programming (e.g., Rust).
• Experience developing accessible technologies.
• Excellent prototyping and engineering skills in a scripting language for conducting experiments and translating research prototypes to production environments.