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Nuclear Expert

Google DeepMind · Mountain View, CA, USA

Frontier labonsite$174k–$252k
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At a glance

Highlights

  • Evaluate frontier AI models for nuclear proliferation and safety risks.
  • Build threat models for fission, fusion, and thermonuclear weapons risks.
  • Design mitigations that block harmful outputs while preserving scientific utility.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

A PhD physicist or nuclear engineer with national lab experience who cares deeply about AI safety and preventing WMD proliferation while enabling beneficial science.

Requirements

  • PhD in plasma physics, nuclear engineering, a related field, or equivalent practical experience
  • Experience collaborating with US national labs or agencies like IAEA, NNSA, or DARPA, or similar government/academic consortia
  • Experience in research/policy in stockpile stewardship, nonproliferation, arms control, or threat reduction
  • Technical experience in high energy density physics, inertial confinement fusion, implosion dynamics, criticality, missiles, or reactor operations, nuclear infrastructure

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)
More about Google DeepMind →
Apply on the lab’s site ↗

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