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About the Role

We are hiring a developer productivity engineer to advance how we build software internally: safely, quickly, and with delight. The main focus are AI tools and coding agents. You’ll partner with platform, security, and product engineers to build state-of-the-art tooling for AI-assisted software development, and make our inner loop dramatically faster. The scope of this role includes both setting up company-wide platforms and working with developers to accelerate their individual workflows.

Responsibilities

Enable researchers and engineers to leverage AI to improve coding productivity without compromising code quality.
Standardize AI coding tools, such as Claude Code, Cursor, and Codex, by configuring, hardening, and maintaining the best tools, integrating org-wide configurations with individual preferences.
Build secure, reproducible agent sandboxes for remote dev & CI testing.
Set up golden-path dev environments and guardrails for secrets/PII.
Help individual contributors develop their personalized AI-enabled workflow.
Track tool usage, reliability, and cost.

Requirements

Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.
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.
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

AI tools
Coding agents
AI-assisted software development
Container platforms
Docker
Kubernetes
Modern CI
GitHub Actions
Buildkite
Package management tools
uv
AI coding tools
Model APIs
OSS
vLLM
SGLang
TGI
Linux
Networking
Secrets management
Safe egress
Systems programming languages
Rust
Scripting languages
Python

Location

San Francisco, California

Work Type

Onsite

Experience Level

Equivalent industry experience

Education Level

Bachelor’s degree

Salary/Compensations

$350,000 - $475,000 USD

Benefits

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

About the Company

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

Equal Opportunity

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.