Software Engineering, University Recruiting
AI in this role
Build reliable, high-impact products and platform capabilities at the frontier of AI and software development.
About Factory
Our mission is to create a world where software builds and improves itself.
We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.
In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).
About the Role
We are looking for a Software Engineer to build reliable, high-impact products at the frontier of AI and software development. You will own projects from idea to production, collaborate closely with product and design, and help define the technical foundations of Factory’s platform.
This role is ideal for an engineer who thrives in a fast-moving environment, enjoys solving complex technical problems, and wants to shape how the world’s leading engineering organizations build software.
What you will do and achieve
Design, build, and ship core product and platform capabilities.
Own projects across architecture, implementation, testing, deployment, and iteration.
Develop scalable systems, APIs, and user-facing experiences.
Collaborate with product, design, and engineering partners to turn ambiguous problems into effective solutions.
Improve the reliability, performance, security, and observability of our systems.
Raise the engineering bar through thoughtful technical decisions, code reviews, and operational excellence.
Work directly with customers to understand their needs and deliver meaningful outcomes.
Qualifications
Experience building and operating production software.
Strong programming fundamentals and system design judgment.
Proficiency in one or more modern programming languages.
Experience working with databases, APIs, cloud infrastructure, and distributed systems.
Ability to take ownership and deliver high-quality work with limited oversight.
Strong communication and collaboration skills.
Comfort operating in a fast-paced environment with evolving requirements.
Interest in AI, developer tools, or the future of software engineering.
This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)
How we rate this
Software Engineering, University Recruiting at Factory rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where api was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, System Design, Distributed Systems, API, and Cloud Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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