Defect detection for manufacturing built from CAD and synthetic data.
Bucket Robotics is hiring a Founding Fullstack Engineer to architect and build our core platform from the ground up. You'll own the entire product stack that transforms CAD models into production-ready AI systems deployed on factory floors.
This role is perfect for an engineer who loves building reliable, scalable systems from scratch—and wants to see their code running on real production lines.
Bucket Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Our goal is to make this process respectful, fast, and focused on real-world skills—not LeetCode tricks or busywork. We’re hiring a founding engineer, and we want to understand how you think, how you build, and how you operate under ambiguity.
A quick call with our founder to:
This is mostly a vibe check and mutual context setter.
We’ll give you a small, toy problem from our world (e.g. synthetic data, defect classification, deployment infra).
What we’re asking you to do:
This isn’t meant to be a full build or a test of perfection—it’s to see how you approach real problems, communicate tradeoffs, and reason about complexity.
A conversation on the take home exercise to talk through:
A conversation focused on:
We want to know: can you thrive in the chaos of an early-stage startup?
A hands-on technical session with an experienced engineer. We’ll walk through code together and talk about:
We’ll move quickly after interviews conclude. If we’re aligned, we’ll get you an offer and start onboarding. We want to build momentum and move fast—and we’ll respect your time throughout the process.
At Bucket Robotics, we’re on a mission to revolutionize quality control in manufacturing. Today, over $10 billion worth of manufactured parts are scrapped due to defects, and traditional inspection methods are slow, expensive, and unreliable. We’re changing that by deploying AI-powered vision systems that detect defects faster, more accurately, and with minimal setup.
Our unique approach uses synthetic data generated from CAD models, allowing us to deploy defect detection models 50x faster than competitors—no need for thousands of real-world images.
We’re a team of engineers and innovators with backgrounds from Michelin, Uber ATG, Argo AI, and Stack AV, applying our robotics expertise to solve real-world manufacturing challenges. We’ve already secured enterprise customers in automotive and plastics, and we’re just getting started.
If you're excited about AI, robotics, and making a tangible impact on manufacturing, we'd love to hear from you!