Higgsfield
Member of Technical Staff, ML Security
$200K–$300K
San Francisco Bay Area, USA · Hybrid · Staff · Full-time · Posted Oct 20, 2026
About the job
Own and operate security for GPU clusters and AI/ML infrastructure across training, inference, and production deployment, including vendor security enforcement.
What you'll do
- Harden GPU hosts, operating systems, Kubernetes, runtimes, and workloads; protect data, models, and infrastructure.
- Assess GPU and datacenter providers, translate requirements into technical controls, and track remediation.
- Build security controls and detection/response capabilities across cloud, Linux, Kubernetes, networks, and third-party infrastructure.
What they ask for
- Hands-on security engineering, infrastructure security, platform security, or related experience.
- Deep understanding of Linux, Kubernetes, networking, and cloud infrastructure security; practical experience securing or operating GPU clusters or distributed AI/ML infrastructure.
- Experience implementing production security controls, conducting technical vendor assessments, and driving remediation.
- Knowledge of IAM, workload isolation, encryption, secrets management, and least privilege; proficiency in Python, Go, or Bash.
Pay
$200,000 - $300,000 USD base salary
Tools
Linux, Kubernetes, Python, Go, Bash
AI focus
Secure GPU infrastructure and AI/ML training and inference workloads, including model and data protection, workload isolation, and AI-specific threat detection and response.
Model-written summary · the original posting is authoritative