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About the Role

We are seeking an infrastructure engineer to manage and enhance the security infrastructure for our foundation models. This role involves working across compute, storage, networking, and data platforms to ensure systems are secure, reliable, and scalable. You will define controls, architecture, and tooling to embed security by default and collaborate with research and product teams to protect models, data, and environments while enabling rapid progress.

Responsibilities

Architect security patterns for platforms and services, including network segmentation, service-to-service authentication, RBAC, and policy enforcement in Kubernetes and cloud environments.
Manage identity, access, and secrets for humans and services, including workload and cross-cloud identity, least-privilege IAM, and secrets management.
Build secure platforms for data ingestion, processing, and curation, incorporating classification, encryption, access controls, and safe sharing patterns.
Write threat models and review designs with researchers and engineers to facilitate safe and scalable feature and experiment deployment.
Automate security checks and implement guardrails through policy-as-code, secure infrastructure baselines, CI/CD validation, and user-friendly secure tooling.

Requirements

Bachelor’s degree or equivalent experience in engineering, or similar.
Strong background with containers and orchestration (e.g., Kubernetes) and their security (namespaces, network policies, pod security, admission controls).
Practical experience with Infrastructure as Code (Terraform or similar), including secure provisioning of networks, IAM, and shared services.
Solid understanding of cloud networking and security concepts (VPCs, load balancers, service discovery, mTLS, firewalls, zero-trust architectures).
Proficiency with a systems language like Rust and scripting in Python for platform components and tools.
Demonstrated experience owning complex, production-critical systems and debugging issues across infrastructure, security, and application layers.

Skills

Kubernetes
Infrastructure as Code (Terraform)
Cloud networking
Cloud security
Rust
Python
Debugging

Location

San Francisco, California

Work Type

Full-time

Experience Level

Mid-level
Senior

Education Level

Bachelor's degree or equivalent experience

Salary/Compensations

$200,000 - $475,000 USD

Benefits

Generous health, dental, and vision benefits
Unlimited PTO
Paid parental leave
Relocation support

About the Company

The mission of Thinking Machines is to build AI that extends human will and judgment.

Equal Opportunity

We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.