Senior Security Engineer, Serving Layer and Platform Security
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
CHECKED 41M AGO
Frontier labonsitesenior$207k–$300k
At a glance
Highlights
- Secure core serving infrastructure powering frontier AI products.
- Build secure-by-default paths for large-scale model serving.
- Defend multi-tenant data boundaries across inference workloads.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
A hands-on security engineer who thrives in on-call operations and hardening large-scale infrastructure. You care about building safer AI systems and bridging deep technical security with product impact.
Requirements
- Bachelor's degree in Computer Science, Cybersecurity, Electrical/Computer Engineering, or equivalent practical experience.
- 5 years of experience in security engineering, platform security, infrastructure hardening, network protocols, or systems security architecture.
- 5 years of experience in security operations (e.g., operational security monitoring, incident response, vulnerability triage, rotational on-call duty, or threat hunting).
- 5 years of coding experience in one or more systems programming languages (e.g., C, C++).
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)