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TL;DR This role is for you if you thrive on variety and love tackling the messy, real-world challenges that come from integrating software with hardware.
You’ll also be passionate about bringing robots to life.
No two days will be the same, but you can expect to:
At P9R7, we’re building robots that can handle the messy, unpredictable and chaotic real world!
We believe that by deploying today, we reveal second-order effects and edge cases that can’t be seen in the lab or the sim.
Our mission: become the UK’s go-to applied AI robotics team - and we’ll go above and beyond to get there.
What we actually do:
We’re a small, dynamic team from Amazon, InstaDeep, Imperial, UCL, and Cambridge to name a few, united by one of the founders of Magic Pony (acquired by Twitter).
We’re hiring a Robotics Software Engineer to own a key part of our robotics system end-to-end.
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More from this employer
London, GBR
London, GBR
London, GBR
London, GBR
London, GBR
You’ll spec it, implement it, test it, maintain it - and live and breathe the customer problem it solves on site.
Our work is highly inter-disciplinary, so you may have experience across these, or other areas:
We are looking for someone who has experience working with robotics.
If that sounds like you, we’d love to hear from you.
About you
Above all, we’re building a team of creative, outside-the-box thinkers.
To thrive here, you are:
What will impress us
We love proactive doers.
Show us what you’ve built - whether it’s interfaces, projects, or experiments.
Tell us why our mission excites you.
Be bold, be creative, and don’t feel embarrassed to stand out from the crowd.
Our London office is right by Portobello Road.
We work full-time, and largely on-site (4-5 days a week).
Expect vibrant startup energy with a team that knows when to laugh, and when to buckle down.
Paddington Robotics is an equal opportunity employer and encourages individuals from all backgrounds to apply.
We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive.
Building autonomous robotic systems for dynamic, real-world environments.
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