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Senior Software Engineer, Product Security

Google DeepMind · Mountain View, CA, USA · New York, NY, USA

CHECKED 1H AGO

Frontier labonsitesenior$207k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Drive app security for Gemini Apps and AI Studio flagship surfaces.
  • Build threat models for client-facing AI and agentic features.
  • Develop secure-by-default libraries that make security seamless.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

Seasoned application security leader who thrives embedded with product teams, owning live security operations and driving secure design from review to remediation for consumer AI products.

Requirements

  • Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, or equivalent practical experience.
  • 8 years of coding experience in general-purpose languages (e.g., JavaScript/TypeScript, Java/Kotlin, Swift, Python, Go, C++).
  • 5 years of experience in application security engineering (web application security, mobile client security, web API security, or client-side cryptography).
  • 5 years of experience in security operations (e.g., vulnerability management, bug bounty triage, penetration testing, red team engagement, or operational incident handling).
  • 5 years of experience testing, and launching software products.

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 ↗