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Infrastructure Engineer, Security

Thinking Machines Lab · San Francisco

CHECKED 11H AGO

Frontier labonsite$200k–$475k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own security infrastructure underpinning frontier foundation models at scale.
  • Shape secure defaults and guardrails so researchers can move quickly safely.
  • Build secure data platforms for ingestion, processing and safe sharing.

What they offer

  • Health, dental and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

Infrastructure-minded owner who cares about secure-by-default platforms and enabling researchers to move fast safely. You thrive debugging complex production systems and balancing security with performance at scale.

Requirements

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

About Thinking Machines Lab

Builds frontier AI that extends human will and judgment through customizable models and interfaces.

What they build

  • Inkling frontier models
  • Tinker model customization
  • Human-AI communication interfaces

Known for

  • Frontier model training
  • Post-training and reinforcement learning
  • Evaluation infrastructure
  • GPU supercomputing and reliability
More about Thinking Machines Lab →
Apply on the lab’s site ↗