Thinking Machines Lab

Infrastructure Engineer, Security

San Francisco

H1B sponsorship available$200k-$475kDetected 78 days ago

PythonExpressDistributed SystemsKubernetesTerraformCI/CDMachine LearningPyTorchLogisticsFirewallZero TrustResearch

About the role

In this role, you'll work across compute, storage, networking, and data platforms, making sure our systems are secure, reliable, and built to scale.
You'll shape controls, architecture, and tooling so that security is part of how the platform works by default.
Note: This is an "evergreen role" that we keep open on an on-going basis to express interest.

Manage identity, access, and secrets for humans and services: workload and cross-cloud identity, least-privilege IAM, and secrets management.
Build secure platforms for data ingestion, processing, and curation: classification, encryption, access controls, and safe sharing patterns across teams.
Write threat models and review designs with researchers and engineers to help them ship features and experiments in a safe, scalable way.
Automate security checks and build guardrails: policy-as-code, secure infrastructure baselines, validation in CI/CD, and tools that make the secure path the easiest one.

Bachelor's degree or equivalent experience in engineering, or similar.
Practical experience with Infrastructure as Code (Terraform or similar), including secure patterns for provisioning networks, IAM, and shared services.

we encourage you to apply if you meet some even if you don't meet all of these:
Experience with ML infrastructure, GPU clusters, or large-scale training environments (schedulers, job queues, shared storage, multi-tenant clusters).
Background in AI labs, HPC environments, or ML-heavy organizations where both security and performance are first-class concerns.
Experience profiling and tuning high-throughput systems, and an ability to reason about the cost of additional security layers.
Talks, blogs, or publications on infrastructure security, distributed systems, or performance engineering.
Open-source contributions to security, orchestration, observability, or infrastructure tooling.
Familiarity with securing specialized hardware (GPUs, TPUs) and their integrations into training and inference pipelines.
Proficiency with a systems language such as Rust and scripting in Python for building platform components and internal tools.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
workload and cross-cloud identity, least-privilege IAM, and secrets management.
policy-as-code, secure infrastructure baselines, validation in CI/CD, and tools that make the secure path the easiest one.
Skills and Qualifications

Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $475,000 USD.

Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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.
We sponsor visas.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.