G

Google

Runs Search and YouTube and builds Gemini AI

Nuclear Expert

Full-TimePosted on 10/14/2026
$174k - $252k+ 15% Bonus Target + Equity
Expert
PhD
Mountain View, CA, USA
In Person
AI & Machine LearningAI Research
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A PhD in plasma physics, nuclear engineering, a related field, or equivalent practical experience.
  • Experience collaborating with U.S. national laboratories or agencies such as IAEA, NNSA, or DARPA, or similar government or academic consortia.
  • Experience in research or policy in stockpile stewardship, nonproliferation, arms control, or threat reduction.
  • Technical experience in high-energy-density physics, inertial confinement fusion, implosion dynamics, criticality, missiles, reactor operations, or nuclear infrastructure.
Responsibilities
  • Construct threat models prioritizing vulnerabilities, threat actors, and scenarios related to fission, fusion, thermonuclear weapons development, and high-energy-density dual-use regimes.
  • Develop mathematical and computational frameworks to quantify capability thresholds, technical feasibility, and potential consequences of model uplift wherever possible.
  • Create robust evaluation datasets of complex physics and nuclear engineering prompts to elicit the model’s maximum capability to uplift malicious actors, including revealing tacit knowledge, novel procedures, reducing time or cost, or reducing detectability.
  • Collaborate with engineers to design mitigations that block harmful outputs without overly degrading the model’s scientific utility.
  • Support the development and refinement of Google’s nuclear safety policy.
  • Communicate complex risks, evaluation findings, and mitigation strategies to leadership and technical and non-technical external stakeholders.
  • Evaluate and mitigate safety risks of frontier AI models, primarily but not limited to large language models, in the nuclear domain, including model assistance involving fission, fusion, thermonuclear weapons proliferation, radiation hydrodynamics, and magnetohydrodynamics, in a demonstrably unclassified and non-export-controlled manner.
Desired Qualifications
  • Experience working in AI safety, evaluations, red teaming, or applied AI or machine learning research at a national laboratory, academic institution, or industry setting.
  • Expertise in computational modeling, scientific computing using Python and C++, radiation hydrodynamics, and magnetohydrodynamics.
  • Experimental and computational inertial confinement fusion or high-energy-density physics experience at major laser user facilities such as NIF or JLF, including diagnostic inverse problems relevant to weapons development.
  • Ability to design evaluations and mitigations that are demonstrably unclassified and non-export-controlled by developing dual-use science proxies for weapons topics.

About the company

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • Gemini caught on: its app's monthly users rose from 400 million in May 2025 to 1 billion by August 2026.
  • Cloud work is booked years ahead: Google Cloud had $514 billion of signed contracts still to deliver in June 2026.
  • Stock awards gained value: Alphabet shares rose 44% in the 12 months to October 2026, versus 2% for Microsoft.

What critics are saying

  • Cloud is still third: Google held 15% market share in the June 2026 quarter, behind Amazon's 28% and Microsoft's 20%.
  • AI spending outruns cash: Alphabet spent $44.9 billion on equipment in the June 2026 quarter, more than operations generated.
  • AI leadership is turning over: in August 2026, Demis Hassabis handed off running Google DeepMind, and veteran Jeff Dean left.

What makes Google unique

  • Consumer apps earn most profit: Google Services made $39.5 billion operating profit in the June 2026 quarter, 4.5 times Cloud.
  • Rivals rent its homemade AI chips: Claude maker Anthropic agreed in October 2025 to use up to 1 million TPUs.
  • Android dominates mobile browsing: it had 69% of global mobile web use in September 2026, versus 31% for iPhones.

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Benefits

  • Hybrid Work Options
  • Remote Work Options
  • Performance Bonus
  • Company Equity

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