Staff Software Engineer, AI Foundry Data Quality and Training Data
San Jose, CA, USA · Staff · Full-time · Posted Oct 9, 2026
- Experience
- 8 years in large-scale distributed systems; 2 years in people management, supervision, or team leadership.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads the Data Quality team in building large-scale data pipelines, quality systems, and curated training datasets that support Google’s foundation models.
What you'll do
- Provide technical leadership and people management for engineers delivering training datasets and data quality infrastructure.
- Architect distributed data pipelines, signal-serving platforms, and dataset observability systems with reliability and SLO guarantees.
- Set the training-data roadmap and scale algorithms for targeting, selection, deduplication, filtering, and quality measurement.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 8 years of experience designing, building, and operating large-scale distributed systems focused on scalability, fault tolerance, and reliability.
- 2 years of experience in people management, supervision, or team leadership.
- Experience with algorithms and data structures, software design, engineering principles, design patterns, and system architecture.
Nice to have
- PhD in Computer Science, Machine Learning, Distributed Systems, Operations Research, or a related technical field.
- Experience with training-data pipelines, data quality, dataset curation, or high-throughput distributed systems.
Pay
$207000 - $300000 USD base salary
Tools
Gemini, Large Language Models (LLMs)
AI focus
Builds and leads data quality, targeting, evaluation, and training-data systems for pre-training, post-training, and multimodal foundation models.
Model-written summary · the original posting is authoritative