Software Engineer
Runloop - San Francisco, CA, San Francisco, California, United States, San Francisco Office
Posted Jan 21, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer San Francisco, CA, San Francisco, California, United States, San Francisco Office About Runloop Runloop.ai is building the foundational infrastructure for the next generation of AI development. We provide AI engineers and data scientists with lightning-fast, secure, and reproducible code sandboxes for agents. Our platform enables teams to experiment, iterate, and deploy their agents without the friction of environment setup and dependencies. We are a small but mighty team dedicated to building a rock-solid platform that empowers innovation in the age of AI. The Role As a Software Engineer at Runloop, you'll be at the forefront of building a revolutionary platform that enables the next generation of AI-augmented software engineering tools. You'll work on cutting-edge features that solve unique challenges in AI agent orchestration, code execution and understanding, and seamless local-to-cloud development for AI-powered coding solutions, all wrapped in a developer friendly interface. Responsibilities - AI-Driven Product Development: Design and implement key components of our AI software engineering platform - Developer Experience: Create intuitive APIs, SDKs, and developer tools that make it easy for our users to build and scale their AI coding solutions on top of Runloop across the stack including our robust UI - Scalability and Performance: Build highly scalable and efficient systems capable of handling the unique demands of AI-powered software engineering tools, including long-running AI jobs and extreme parallelization - Security and Compliance: Implement robust security measures to ensure the safe execution of AI agents and protect sensitive codebases - Product & Cross-Functional Collaboration: Work
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