Senior AI-Driven Software Engineer

Google LLC

New York (NY)

On-site

USD 174,000 - 252,000

Full time

3 days ago
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Job summary

Google LLC is seeking software engineers for DevAI Research to advance AI-assisted development across the software lifecycle. You will explore techniques in agent design, observability, and performance benchmarking to push the state of the art in AI usage within Google's development environments.

Role emphasizes research excellence, collaboration, and translating prototypes into production-ready systems with potential for publishing findings and contributing to high-impact projects.

Qualifications

  • Bachelor's degree or higher in CS/ML or equivalent practical research experience.
  • 5 years of software development experience in one or more programming languages.
  • 3 years of research experience in AI/ML or software engineering research (e.g., deep learning, LLMs, program analysis).
  • First-author publications in relevant conferences/journals are a plus.

Responsibilities

  • Articulate a long-term direction for AI-assisted development and a road map to achieve it.
  • Design, evaluate, and deploy novel AI techniques to accelerate software development at Google.
  • Develop neurosymbolic techniques to improve the SDLC and produce robust software.
  • Collaborate within teams and with cross-functional partners to guide projects from research to launch.
  • Publish findings within the broader research community.

Skills

Programming languages
Industry experience
Research experience in AI/ML
Publications

Education

Bachelor's degree in CS/ML or equivalent
PhD in CS/ML or related field

Job description

Google LLC is seeking software engineers for DevAI Research to advance AI-assisted development across the software lifecycle. You will explore techniques in agent design, observability, and performance benchmarking to push the state of the art in AI usage within Google's development environments.

Role emphasizes research excellence, collaboration, and translating prototypes into production-ready systems with potential for publishing findings and contributing to high-impact projects.

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