engineering
Posted 3 weeks agoSenior 3D & AI Systems Software Developer
Remote
Responsibilities
- 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
Requirements
- 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.
- CoLab’s AutoReview product is a core part of how we bring AI and engineering expertise together to improve design quality.
- You’ll 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.
- But you will get ownership, support, and the opportunity to shape how AI-driven design review evolves inside some of the world’s leading engineering organizations. Our Ideal Candidate
- You’ve got solid backend engineering experience, ideally with exposure to 3D CAD modeling or using tools like OpenCascade or Parasolid.
- You’re comfortable with math-heavy problems (linear algebra, vector calculus), and
- You’re ready to be the go-to person for 3D anomalous within the AutoReview space and help others get up to speed. Job Responsibilities
- 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.)
- 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
- 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.
Experience
- Qualifications 5+ years of
Benefits
- bonus points if you’ve worked in ML/LLM environments or with HOOPS.
- 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
Additional details
- At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.
- 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. John’s, Newfoundland, CoLab has grown quickly from our first customer in 2019 to a rapidly scaling company.
- We’ve recently been recognized on Deloitte’s Fast 50™ and Fast 500™ , and named a Canadian company to watch by The Globe and Mail and Financial Post. About the Role
- So far, much of that work has focused on 2D drawings.
- You’ll spend time experimenting, testing assumptions, and solving problems that don’t have obvious answers.
- You won’t be handed perfectly scoped projects or detailed specs.
- You like to understand the “why” behind the work and communicate it clearly.
- You thrive in ambiguity and don’t wait for someone else to go first.