Senior Software Engineer, Data and Infrastructure, Professional Intelligence
Google DeepMind · Mountain View, CA, USA
Frontier labonsitesenior$174k–$252k
At a glance
Highlights
- Build LLM agent skills that search, read, reason over and cite corporate data.
- Implement fine-grained per-document access controls with full audit logging.
- Keep live production systems healthy while building the next generation.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A product-minded owner who thrives in fast-changing, startup-like teams and cares deeply about production quality, security, and using AI to multiply team impact.
Requirements
- Bachelor's degree in Computer Science or equivalent practical experience
- Experience in Python with modern toolchains and frameworks (e.g., uv, ruff, FastAPI, Pydantic)
- Experience building and operating data pipelines (e.g., Apache Beam, Dataflow, Flink, Spark) and batch vs. streaming trade-offs
- Experience with data storage solutions (e.g., SQL/Postgres, NoSQL, blob storage, search indexes, vector databases) and trade-offs
- Experience using coding agents to develop code and tests to specification
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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