ML Security Engineer: GPU Infra & Cloud

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

Job summary

Higgsfield AI seeks a highly technical MTS, ML Security to own security across GPU clusters and AI/ML infrastructure. You will design, implement, and operate security controls from training to production deployment, balancing security, performance, and reliability in a fast-moving AI environment.

You will harden GPU hosts, OS, drivers, runtimes, Kubernetes clusters, and workload scheduling; validate tenant isolation and data movement, and partner with ML and Platform Engineering teams to

Qualifications

• Deep expertise in security engineering for distributed AI/ML infrastructure.
• Hands-on security across Linux, Kubernetes, cloud and GPU environments.
• Experience securing GPU clusters and model training workflows.

Responsibilities

• Own GPU infrastructure security across training and inference workloads.
• Harden GPU hosts, drivers, runtimes, CKs and cluster configurations.
• Design controls for data, models and customer information protection.
• Lead vendor security assessments and enforcement activities.
• Implement least-privilege, identity management and encryption across platforms.
• Collaborate with ML, Platform, and Infra teams to embed security into workflows.

Skills

Security Engineering

Infrastructure Security

Kubernetes

Linux

Cloud Security

Vulnerability Management

Python/Go/Bash

Vendor Security Assessments

Job description

Higgsfield AI seeks a highly technical MTS, ML Security to own security across GPU clusters and AI/ML infrastructure. You will design, implement, and operate security controls from training to production deployment, balancing security, performance, and reliability in a fast-moving AI environment.

You will harden GPU hosts, OS, drivers, runtimes, Kubernetes clusters, and workload scheduling; validate tenant isolation and data movement, and partner with ML and Platform Engineering teams to