Thinking Machines Lab
Software Engineer, Developer Productivity, AI Tools
San Francisco
H1B sponsorship available$350k-$475kDetected 4 days ago
PythonExpressGitDockerKubernetesGitHub ActionsLinuxPyTorchLogistics
About the role
- The scope of this role includes both setting up company-wide platforms and working with developers to accelerate their individual workflows.
- Note: This is an "evergreen role" that we keep open on an on-going basis to express interest.
Responsibilities
- Standardize AI coding tools, such as Claude Code, Cursor, and Codex. You will help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences.
- Help individual contributors develop their personalized AI-enabled workflow.
- Experience developing productivity tools and best practices for large codebases.
- Ability to communicate clearly and work with researchers to build and manage a variety of internal tools.
Requirements
- Bachelor's degree or equivalent industry experience in computer science, engineering, or similar.
Nice to have
- we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
- Hands-on experience with container platforms (e.g. Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
- Practical experience with AI coding tools and model APIs (e.g. OSS via vLLM / SGLang / TGI).
- Solid Linux/networking fundamentals
- comfort with secrets management and safe egress.
- Proficiency in systems programming languages (e.g. Rust) and scripting languages (e.g. Python).
Skills
- Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
- The main focus are AI tools and coding agents.
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Visa & Work Authorization
- 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.
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This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.