Security Engineer — Large-Scale ML Infrastructure

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

Job summary

Causal Labs is building a Large Physics foundation Model and seeks a security engineer to design and operate security across the engineering stack, including GPU clusters, APIs, and data stores. You will implement robust IAM, encryption, and threat detection to protect model weights, data, and customer deployments.

Responsibilities include developing secure SDLC practices, performing threat modeling, and guiding security reviews across research and infrastructure teams to maintain velocity

Qualifications

• Demonstrated experience in security engineering, infrastructure security, or application security within large-scale distributed systems or cloud environments.

Responsibilities

• Design and deploy robust security architectures across our distributed GPU clusters, shared compute platforms, and network infrastructure.
• Drive secure software development lifecycle (SDLC) practices, partnering with Infrastructure and Research teams to build security into pipelines, APIs, and orchestrators.
• Own identity and access management (IAM), data governance, and encryption strategies for petabyte-scale data and model checkpoints.
• Conduct threat modeling, vulnerability assessments, and implement proactive threat detection and incident response tooling.
• Support Forward Deployed teams by navigating security and compliance constraints of high-stakes customer environments.

Skills

Security engineering

Infrastructure security

Application security

Linux

Networking

Infrastructure as code

Python

Go

Rust

Kubernetes

Slurm

Cloud platforms (GCP/AWS/Azure)

Threat modeling

Vulnerability assessments

Incident response

Tools

Kubernetes

Slurm

Cloud platforms

Job description

Causal Labs is building a Large Physics foundation Model and seeks a security engineer to design and operate security across the engineering stack, including GPU clusters, APIs, and data stores. You will implement robust IAM, encryption, and threat detection to protect model weights, data, and customer deployments.

Responsibilities include developing secure SDLC practices, performing threat modeling, and guiding security reviews across research and infrastructure teams to maintain velocity