Senior 3D & AI Systems Software Developer
About CoLab
At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.
CoLab is the AI platform for driving stronger engineering decisions. Every design review in CoLab builds a knowledge repository of design feedback, decisions, and lessons learned - which AI agents draw from to flag issues on future designs before they compound. The more your team works in CoLab, the smarter it gets and the faster you arrive at the ideal design. Companies like Ford, Komatsu, and Johnson Controls use CoLab to catch issues earlier, eliminate rework cycles, and bring products to market faster.
Founded in St. Johnâs, Newfoundland, CoLab has grown quickly from our first customer in 2019 to a rapidly scaling company. Weâve recently been recognized on Deloitteâs Fast 50⢠and Fast 500â˘, and named a Canadian company to watch by The Globe and Mail and Financial Post.
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 modeling 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.
Job Responsibilities
Become a key contributor in the backend development for 3D AutoReview features, from pipeline architecture to production delivery
Experiment with geometry parsing, quality detection, and context generation for 3D model review
Partner with backend, frontend, and product teams to drive the delivery of high-impact features with speed, quality, and cross-functional alignment.
Collaborate with ML teams to incorporate intelligence into the 3D review process
Develop extensible systems for custom rule creation and reference data in 3D AutoReview
Help set and maintain high technical standards across the team
Qualifications
5+ years of experience in backend development, ideally in a product or platform team
Solid grasp of 3D math with practical experience in graphics engines, CAD kernels (HOOPS, OpenCascade, Parasolid), Robotics, 3D simulations, etc.
Hands-on experience designing, developing, and maintaining robust, scalable backend systems and APIs
Experience working with multiple data storage paradigms (SQL, NoSQL, and vector databases)
Experience with ML/AI/LLM concepts and productionalization
Familiarity with 3D model ML pipelines (e.g., feature extraction, embedding generation, model training, or inference)
Familiarity with agentic workflows (e.g., pydantic-ai)
Experience integrating and prompting large language models (LLMs) via APIs (e.g., OpenAI, Anthropic, Google Gemini)
Knowledge of ML frameworks such as PyTorch, Hugging Face, or Scikit-learn
Experience deploying ML services in cloud infrastructure (e.g., AWS SageMaker, Amazon Bedrock, etc.)
Comfortable working with ambiguous or loosely scoped technical challenges
Excellent communicatorâable to translate technical problems into clear paths forward
Experience with CAD modeling software like SolidWorks, Creo, or OnShape is a strong plus
Experience with mechanical engineering concepts is a strong plus
Extra Details
This is a full-time, permanent position with a competitive compensation package that includes stock options
Includes extended health benefits, unlimited paid vacation, and RRSP/401K matching and 100% health/dental coverage
Fully remote within North America
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.
Apply To This Job
At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.
CoLab is the AI platform for driving stronger engineering decisions. Every design review in CoLab builds a knowledge repository of design feedback, decisions, and lessons learned - which AI agents draw from to flag issues on future designs before they compound. The more your team works in CoLab, the smarter it gets and the faster you arrive at the ideal design. Companies like Ford, Komatsu, and Johnson Controls use CoLab to catch issues earlier, eliminate rework cycles, and bring products to market faster.
Founded in St. Johnâs, Newfoundland, CoLab has grown quickly from our first customer in 2019 to a rapidly scaling company. Weâve recently been recognized on Deloitteâs Fast 50⢠and Fast 500â˘, and named a Canadian company to watch by The Globe and Mail and Financial Post.
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 modeling 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.
Job Responsibilities
Become a key contributor in the backend development for 3D AutoReview features, from pipeline architecture to production delivery
Experiment with geometry parsing, quality detection, and context generation for 3D model review
Partner with backend, frontend, and product teams to drive the delivery of high-impact features with speed, quality, and cross-functional alignment.
Collaborate with ML teams to incorporate intelligence into the 3D review process
Develop extensible systems for custom rule creation and reference data in 3D AutoReview
Help set and maintain high technical standards across the team
Qualifications
5+ years of experience in backend development, ideally in a product or platform team
Solid grasp of 3D math with practical experience in graphics engines, CAD kernels (HOOPS, OpenCascade, Parasolid), Robotics, 3D simulations, etc.
Hands-on experience designing, developing, and maintaining robust, scalable backend systems and APIs
Experience working with multiple data storage paradigms (SQL, NoSQL, and vector databases)
Experience with ML/AI/LLM concepts and productionalization
Familiarity with 3D model ML pipelines (e.g., feature extraction, embedding generation, model training, or inference)
Familiarity with agentic workflows (e.g., pydantic-ai)
Experience integrating and prompting large language models (LLMs) via APIs (e.g., OpenAI, Anthropic, Google Gemini)
Knowledge of ML frameworks such as PyTorch, Hugging Face, or Scikit-learn
Experience deploying ML services in cloud infrastructure (e.g., AWS SageMaker, Amazon Bedrock, etc.)
Comfortable working with ambiguous or loosely scoped technical challenges
Excellent communicatorâable to translate technical problems into clear paths forward
Experience with CAD modeling software like SolidWorks, Creo, or OnShape is a strong plus
Experience with mechanical engineering concepts is a strong plus
Extra Details
This is a full-time, permanent position with a competitive compensation package that includes stock options
Includes extended health benefits, unlimited paid vacation, and RRSP/401K matching and 100% health/dental coverage
Fully remote within North America
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.
Apply To This Job