About the Job
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 rational...
Proudly based in St. John’s, Newfoundland, CoLab started with one customer in 2018. Since then we’ve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500™), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.
Key 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
Required Skills & Abilities
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 communicator—able 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
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
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 don’t meet every single qualification—your potential is what matters most to us.
Qualifications
Experience:
5 years experience
