ML Security Engineer: GPU & Cloud Infra

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

Job summary

Higgsfield AI is seeking a highly technical MTS, ML Security to own security across GPU clusters and AI/ ML infrastructure, from training to inference and production deployment.

You will secure GPU compute environments, evaluate vendors, and enforce security requirements through technical controls and remediation, working with ML and Infrastructure teams in a fast-moving AI environment.

Qualifications

• Deep hands-on security engineering background in infrastructure or cloud security.
• Strong knowledge of Linux, Kubernetes, networking and cloud security.
• Experience securing GPU clusters or distributed AI/ML infrastructure.
• Ability to design security controls for complex distributed environments.
• Experience conducting technical vendor security assessments and remediation.

Responsibilities

• Own the security of GPU clusters supporting distributed training and production inference.
• Harden GPU hosts, OS, drivers, container runtimes, Kubernetes, and workload scheduling.
• Secure training environments and data movement with strict isolation and access controls.
• Design controls to protect datasets, model checkpoints, and customer data.
• Strengthen inference security through tenant isolation and secure model loading.
• Collaborate with ML and Platform Eng teams to embed security in design and delivery.
• Lead vendor security assessments of GPU infra providers and data centers.
• Translate security requirements into enforceable controls and drift checks.
• Track findings to closure with owners and deadlines; document approved exceptions.

Skills

Security Engineering

Linux

Kubernetes

Cloud security

Python/Go/Bash

GPU infrastructure security

Vendor assessments

Job description

Higgsfield AI is seeking a highly technical MTS, ML Security to own security across GPU clusters and AI/ ML infrastructure, from training to inference and production deployment.

You will secure GPU compute environments, evaluate vendors, and enforce security requirements through technical controls and remediation, working with ML and Infrastructure teams in a fast-moving AI environment.