Software Engineer, Developer Productivity, AI Tools

Thinking Machines Lab; San Francisco (CA); On-site; USD 350,000 - 475,000; Full time

Benefits offered by this job

Generous health, dental, and vision benefits

Unlimited PTO

Paid parental leave

Relocation support

Job summary

A leading AI research company based in San Francisco is looking for a Developer Productivity Engineer to enhance coding productivity through AI tools. The role involves standardizing AI coding tools, developing personalized workflows for contributors, and ensuring high-quality coding practices. Candidates should have a Bachelor's degree in Computer Science or Engineering and experience with large codebases and AI tools. This position offers a competitive salary of $350,000 - $475,000 and comprehensive benefits.

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.

Responsibilities

• Enable researchers and engineers to leverage AI for coding productivity.
• Standardize AI coding tools and integrate configurations.
• Set up dev environments and guardrails for secrets/PII.
• Help contributors develop personalized AI-enabled workflows.
• Track tool usage, reliability, and cost.

Skills

Development of productivity tools

Clear communication

AI coding tools

Linux fundamentals

Education

Bachelor’s degree in computer science or engineering

Tools

Docker

Kubernetes

GitHub Actions

Job description

Overview

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.

Note: This is an evergreen role that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you’re welcome to apply directly in addition to an evergreen role.

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 (Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
• Practical experience with AI coding tools and model APIs (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.

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.