ML Security Engineer — GPU & AI Infra

present of AI; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Higgsfield is seeking a security-focused infrastructure engineer to own security for GPU clusters and ML systems that train and serve the company's models. You will harden Linux hosts, Kubernetes, and container setups, and ensure strong isolation between tenants and workloads while protecting model weights and customer data.

You will work with outside providers to enforce clear security standards, perform risk assessments, and respond to incidents as part of building a robust AI platform

Qualifications

• Deep infrastructure security experience.
• Hands-on time with GPU or distributed training setups.
• Ability to hold outside providers to clear security standards.

Responsibilities

• Own security for GPU clusters and ML systems that train and serve the company's models.
• Hardening Linux hosts, Kubernetes and container setups, keeping tenants and workloads separated, and protecting model weights and customer data.
• Coordinate security assessments and incident response with internal teams and external providers.

Skills

Kubernetes hardening

Linux hardening

GPU security

Vendor security

IR & detection

Python/Go/Bash

Job description

Higgsfield is seeking a security-focused infrastructure engineer to own security for GPU clusters and ML systems that train and serve the company's models. You will harden Linux hosts, Kubernetes, and container setups, and ensure strong isolation between tenants and workloads while protecting model weights and customer data.

You will work with outside providers to enforce clear security standards, perform risk assessments, and respond to incidents as part of building a robust AI platform