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Autotab (YC S23) Is Hiring Founding Engineers to Build the Digital Robot

Root Node Engineer We think the most exciting thing you can do is build a great company tackling an important problem, and we work 6 days / week together in person doing that. Why it’s exciting: Work on one of the most important problems in the field. Digital robots will unlock the next 100x productivity increase, and free humans from trillions of hours of soul-crushing work. Hard, novel problems. Many of the problems we’re solving have never been solved before. They span core infrastructure (we built our own browser), the frontiers of AI/ML, and UX design for entirely new modes of human-computer interaction. Talk to users, ship, repeat. We have a product that is being used in production and has incredible demand. Our approach is to begin with a highly reliable model that solves the most tedious problems today, and then iteratively scale capability and usability to full self-driving. Work with amazing people. We are building a tiny, ambitious team that works shoulder-to-shoulder 6 days / week. We particularly enjoy working with people who are open-minded, broadly curious, and kind. If those sound like good reasons to you too, then here’s a bit about what we are looking for. We should talk if you: Take pride in your work. You are the kind of person who can’t bring themselves to do bad work, and works hard no matter the project. You care deeply about what you build, and the people you build it for. Have high velocity. You must be able to move very quickly through large codebases with complex, low-level code—while writing good abstractions with sensible tradeoffs. Have built hard things before. Building self-driving for the computer is very hard. If you have a track record of building hard things you are more likely to succeed at this one.

Apply to role › We think the most exciting thing you can do is build a great company tackling an important problem, and we work 6 days / week together in person doing that. Our approach is to begin with a highly reliable model that solves the most tedious problems today, and then iteratively scale capability and usability to full self-driving. If we succeed, we will provide the platform that unlocks the next 100x productivity increase, and frees humans from trillions of hours of soul-crushing work.

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