Nuclear Expert, DeepMind
Mountain View, CA, USA · Full-time · Posted Oct 14, 2026
- Education
- PhD in plasma physics, nuclear engineering, a related field, or equivalent practical experience.
About the job
Evaluate and mitigate nuclear-domain safety risks from frontier AI models by developing threat models, capability evaluations, and safeguards.
What you'll do
- Develop threat models and quantitative frameworks for nuclear and high-energy-density dual-use risks.
- Create evaluation datasets to assess whether models could enable harmful capabilities, and work with engineers on mitigations.
- Contribute to nuclear safety policy and communicate risks and findings to stakeholders.
What they ask for
- PhD in plasma physics, nuclear engineering, a related field, or equivalent practical experience.
- Experience collaborating with US national labs, agencies such as IAEA, NNSA, or DARPA, or similar consortia.
- Research or policy experience in stockpile stewardship, nonproliferation, arms control, or threat reduction.
- Technical experience in a listed area such as high energy density physics, inertial confinement fusion, implosion dynamics, criticality, missiles, reactor operations, or nuclear infrastructure.
Nice to have
- Experience in AI safety, evaluations, red teaming, or applied AI/ML research.
- Expertise in computational modeling or scientific computing, including Python or C++, radiation hydrodynamics, and MHD.
Pay
$174000 - $252000 (USD) base salary
Tools
Python, C++
AI focus
Assess how frontier AI models could enable harmful nuclear-domain capabilities and develop evaluations and mitigations to reduce those risks.
Model-written summary · the original posting is authoritative