Software Engineer Developer Productivity AI Tools

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. 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. What You’ll Do Enable our 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. You will help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences. 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. Skills and Qualifications 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. Preferred qualifications — 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). Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. 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. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. #J-18808-Ljbffr