Staff Software Engineer: AI Data & Scale Leader

Google; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a software engineer to contribute to AI-ready training data and data quality infrastructure within the DA&DQ organization. You will build and scale data processing pipelines and dataset observability systems to support extensive exabytes-scale data.

You will collaborate with UT leads and DeepMind researchers to drive end-to-end data quality strategy for pre-training, post-training, and multimodal data delivery, advancing Gemini and foundation models.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
• 2 years of experience in a people management, supervision/team leadership role.
• Experience working with algorithms and data structures, analysis, and software design.
• Experience in software engineering principles, design patterns, and system architecture.

Responsibilities

• Provide technical leadership and people management for a team of Software Engineers delivering AI-ready training datasets and data quality infrastructure.
• Architect, build, and evolve large-scale distributed data processing pipelines, signal-serving platforms, and dataset observability systems with rigorous reliability and Service Level Objective (SLO) guarantees.
• Partner closely with peer tech lead managers, Über Tech Leads (UTLs), and DeepMind researchers to drive the end-to-end roadmap for pre-training, post-training, and multimodal training data delivery
• Design and scale web-scale algorithms and optimization frameworks including crawl targeting, document selection, deduplication, spam/low-value filtering guardrails, and objective functions operating across hundreds of billions of documents.
• Establish rigorous data quality metrics and automated anomaly detection.

Skills

Distributed systems

Leadership

Algorithms & data structures

Software design

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a software engineer to contribute to AI-ready training data and data quality infrastructure within the DA&DQ organization. You will build and scale data processing pipelines and dataset observability systems to support extensive exabytes-scale data.

You will collaborate with UT leads and DeepMind researchers to drive end-to-end data quality strategy for pre-training, post-training, and multimodal data delivery, advancing Gemini and foundation models.