Security Engineer for Large-Scale ML Infrastructure

Kindredventures; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Job summary

Causal Labs is seeking a security engineer to design and operate security across our engineering stack, including research environments, model weights, and customer integrations. You will ensure secure architectures and maintain velocity for researchers.

You will implement IAM, encryption, data governance, and threat detection across petabyte-scale data and proprietary checkpoints while collaborating with Kubernetes and cloud environments.

Qualifications

• Security engineering experience in large-scale distributed systems or cloud environments.
• Knowledge of secure SDLC practices and threat modeling.
• Experience with IAM, encryption, data governance.

Responsibilities

• Design and deploy robust security architectures across distributed GPU clusters and cloud platforms.
• Drive secure software development lifecycle practices with Infrastructure and Research teams.
• Own IAM, data governance, and encryption strategies for large-scale data and model checkpoints.
• Conduct threat modeling and vulnerability assessments; implement proactive detection and incident response tooling.
• Support research teams while meeting strict security and compliance constraints.

Skills

Security engineering

Infrastructure security

Linux

Networking

IaC (Terraform, etc.)

Python/Go/Rust

Cloud platforms (GCP/AWS/Azure)

Kubernetes

Slurm

IAM & encryption

Tools

Kubernetes

Slurm

IAM

Job description

Causal Labs is seeking a security engineer to design and operate security across our engineering stack, including research environments, model weights, and customer integrations. You will ensure secure architectures and maintain velocity for researchers.

You will implement IAM, encryption, data governance, and threat detection across petabyte-scale data and proprietary checkpoints while collaborating with Kubernetes and cloud environments.