Staff Software Engineer, Gemini App, Data Engineering
Google DeepMind · Mountain View, CA, USA · New York, NY, USA · Seattle, WA, USA
Frontier labonsitestaff$207k–$300k
At a glance
Highlights
- Architect pipelines delivering critical telemetry across all Gemini surfaces.
- Scale data products for a global AI product with explosive user growth.
- Build batch and real-time pipelines powering experimentation and ML training.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
Seasoned data engineering leader with 8+ years building large-scale systems who thrives on ambiguous, high-growth challenges and mentoring engineers while partnering with data science to deliver reliable insights.
Requirements
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
- 8 years of experience in software development
- Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or similar infrastructure
- Experience developing, debugging, and supporting large-scale data pipelines
- Experience with distributed data processing frameworks and workflow orchestration tools
- Experience in Go/C++
- Experience in a technical lead role setting technical direction for engineers
- Ability to address business data requirements and clear development obstacles amid rapid growth
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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