Y Combinator Startup Podcast
00:56:40 · S1, Chelsea Finn
[00:56:40] S1: Okay. And then the last question, is how can someone break into robotics from a software engineering background? Great. [00:56:47] S0: So I think that the... I guess first, there's a lot of software engineering in robotics. And so, there's... I think you could try joining us a robotics company as a software engineer. And then another thing that I would mention, I've actually seen someone take this path. So someone who actually now works at Physical Intelligence, her name is Jenny. She worked in trading, algorithmic trading for a while. Then she worked at Harvey and was doing legal stuff. And she was really excited about robots. And so she bought a cheap robot and basically in her bedroom played around with it and tried fine tuning an open source model and trying to get it to do something. And then she shared what she had done and she sent me a cold email and was like, hey, I'm interested in working in your lab. It And seemed like her profile was promising and that she actually, like, actually got out there and, like, tried it and done it and that she really was really excited about that. And so the... And now now she works at Physical Intelligence. The... But, yeah, I think just, like, getting your, getting your feet wet, trying stuff out, and learning from that experience, and then, yeah, using that experience to, kind of, yeah, share with people, have it on your resume and so forth, I think is a great way to do stuff. Fortunately, there's a lot of open source stuff out there that can allow you to get started on those kinds of things.
00:56:47 · Chelsea Finn, S1
[00:56:47] S0: So I think that the... I guess first, there's a lot of software engineering in robotics. And so, there's... I think you could try joining us a robotics company as a software engineer. And then another thing that I would mention, I've actually seen someone take this path. So someone who actually now works at Physical Intelligence, her name is Jenny. She worked in trading, algorithmic trading for a while. Then she worked at Harvey and was doing legal stuff. And she was really excited about robots. And so she bought a cheap robot and basically in her bedroom played around with it and tried fine tuning an open source model and trying to get it to do something. And then she shared what she had done and she sent me a cold email and was like, hey, I'm interested in working in your lab. It And seemed like her profile was promising and that she actually, like, actually got out there and, like, tried it and done it and that she really was really excited about that. And so the... And now now she works at Physical Intelligence. The... But, yeah, I think just, like, getting your, getting your feet wet, trying stuff out, and learning from that experience, and then, yeah, using that experience to, kind of, yeah, share with people, have it on your resume and so forth, I think is a great way to do stuff. Fortunately, there's a lot of open source stuff out there that can allow you to get started on those kinds of things. [00:58:12] S1: Great. That was the last question. Thanks everyone for listening.