Senior Backend Engineer – 3D & AI Systems

November 6

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CoLab Software

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Software • Productivity • Enterprise

CoLab Software is a company focused on improving the design collaboration process for engineering teams. They provide tools that facilitate efficient CAD reviews and automate issue tracking, helping teams design better products faster. CoLab integrates with major PLM and CAD systems and supports a variety of use cases including supplier collaboration, cost reduction, new product development, and design for manufacturability. Their platform, featuring tools such as ReviewAI, enables users to generate feedback, collaborate in real-time, and capture performance data to drive continuous improvement. CoLab aims to streamline design processes, reduce decision-making errors, and enhance product quality.

51 - 200 employees

⚡ Productivity

🏢 Enterprise

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Includes extended health benefits • Unlimited paid vacation • RRSP matching • 100% health/dental coverage