Infrastructure Engineer, Security
Thinking Machines Lab · San Francisco
CHECKED 11H AGO
Frontier labonsite$200k–$475k
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
- visa sponsorship
- We sponsor visas
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