Posting record
Open 11+ days
- Pantograph's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Pantograph, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Pantograph is training general models that start by watching internet-scale video and end up on robots. We think the path to capable robots runs through general intelligence rather than narrow, robot-specific skills. We're scaling simple methods across video games, real-world video, and our own fleet of affordable, durable robots.
We're looking for a sharp generalist engineer to work on our robot software. You'll sit close to both our customers and our hardware team. The work spans our core robot feature stack — building and shipping features that improve our customers' experience of our robots — as well as our internal test infrastructure and robot tooling.
A robotics background is not a requirement. The ideal fit is someone eager to dive into new problems, curious and quick to learn new domains, and who cares deeply about what makes products usable.
You might be a good fit if you
- Are a strong generalist programmer who's comfortable jumping between domains
- Love shipping things and seeing real people use them
- Are pragmatic and you reach for the simplest thing that solves the problem
- Communicate well and enjoy working directly with customers and teammates outside engineering
- Use AI tools extremely effectively
Bonus if you've worked with
- Rust (most of our stack is written in it — but a strong engineer can pick it up)
- Embedded Linux, hardware, or anything physical, like software for robots or cars
- Testing and reliability at scale
- Video pipelines, networking, or distributed systems
- Fleet management
We care much more about what you've built than credentials. We're a small, fast-moving team working together in person in San Francisco. If this sounds exciting to you, we want to hear from you.
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