Security Engineer: ML Infrastructure & GPU Security

LinuxCareers; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Discretionary annual bonus

Stock options

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Job summary

Higgsfield AI is seeking a Security Engineer focused on ML Infrastructure to own security across GPU clusters and AI/ML infrastructure from training to production deployment. You will harden compute environments, assess vendor security, and implement technical controls across cloud and datacenter datacenters.

Responsibilities include securing distributed training workloads, validating tenant isolation, and strengthening model loading security, with leadership in vendor security assessments and

Qualifications

• Strong hands-on experience in Security Engineering, Infrastructure Security, or related discipline.
• Deep understanding of Linux, Kubernetes, networking, and cloud infrastructure security.
• Experience securing GPU clusters or distributed AI/ML infrastructure.

Responsibilities

• Own the security of GPU clusters supporting distributed training and production inference across cloud and rented datacenters.
• Secure environments with isolation, access controls, and data movement restrictions across compute, networking, and storage.
• Design and implement controls to protect datasets, model checkpoints, weights, and customer data; strengthen inference security.
• Lead security assessments of GPU infrastructure providers and AI vendors; evaluate vendor architecture for tenant isolation and incident response.
• Develop and maintain security controls across Linux, Kubernetes, cloud infra, networks, and third-party datacenters; build detection and response capabilities.

Skills

Security Eng

Linux

Kubernetes

Cloud security

Scripting

Job description

Higgsfield AI is seeking a Security Engineer focused on ML Infrastructure to own security across GPU clusters and AI/ML infrastructure from training to production deployment. You will harden compute environments, assess vendor security, and implement technical controls across cloud and datacenter datacenters.

Responsibilities include securing distributed training workloads, validating tenant isolation, and strengthening model loading security, with leadership in vendor security assessments and