Backend engineer building 3D design analysis systems for AutoReview product, working with geometry parsing, CAD kernels, and ML-assisted workflows. Cross-functional team spanning backend, frontend, product, and ML. Stack includes 3D math, CAD tools (HOOPS, OpenCascade, Parasolid), Python ML frameworks, and cloud infrastructure.
About CoLab
At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.
We build AI for engineers designing cars, medical devices, and jet engines. Products this complex aren't sketched and sent to production. Teams spend months on iterations, reviews, and tests, predicting how every part performs before anything is built. CoLab is where those reviews happen, and we capture the rationale behind every change. Other tools show what changed between versions. Only CoLab knows why. That's how our AI helps manufacturers like Bobcat, Triumph Motorcycles, and GE Appliances make better decisions, eliminate rework cycles, and get to market faster.
Proudly based in St. Johnâs, Newfoundland, CoLab started with one customer in 2018. Since then weâve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500â˘), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.
About the Role
CoLabâs AutoReview product is a core part of how we bring AI and engineering expertise together to improve design quality. So far, much of that work has focused on 2D drawings. Now, weâre building the future of 3D AutoReview â and we need a backend engineer whoâs excited to help in that mission.
Youâll join the AutoReview team and help build the systems that power intelligent 3D design analysis at scale. That includes everything from geometry parsing and model analysis to backend infrastructure, rule systems, and AI-assisted review workflows. This is deeply technical, multidisciplinary work that sits at the intersection of backend engineering, CAD systems, and machine learning.
Youâll spend time experimenting, testing assumptions, and solving problems that donât have obvious answers. You wonât be handed perfectly scoped projects or detailed specs. But you will get ownership, support, and the opportunity to shape how AI-driven design review evolves inside some of the worldâs leading engineering organizations.
Our Ideal Candidate
Youâve got solid backend engineering experience, ideally with exposure to 3D CAD modelling or using tools like OpenCascade or Parasolid. Youâre comfortable with math-heavy problems (linear algebra, vector calculus), and bonus points if youâve worked in ML/LLM environments or with HOOPS.
You like to understand the âwhyâ behind the work and communicate it clearly. You thrive in ambiguity and donât wait for someone else to go first. If somethingâs unclear, you figure it outâand then explain it to the rest of the team. Youâre ready to be the go-to person for 3D anomalous within the AutoReview space and help others get up to speed.
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Equity Note
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you donât meet every single qualificationâyour potential is what matters most to us.