Senior Software Engineer, Product Security
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
CHECKED 1H AGO
Frontier labonsitesenior$207k–$300k
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)