Senior 3D & AI Systems Software Developer

CoLab Software

Senior backend engineer building 3D AutoReview features at CoLab Software. Collaborating on intelligent design analysis and backend infrastructure.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Hard Skills

backend development3D mathgraphics enginesCAD kernelsRobotics3D simulationsAPIsdata storage paradigmsML/AI/LLM conceptsML frameworks

Soft Skills

collaborationcommunicationproblem-solvingcross-functional alignmenttechnical standardsadaptabilityquality focusspeed of deliveryambiguity managementteam contribution

Tools & Technologies

HOOPSOpenCascadeParasolidSQLNoSQLvector databasesPyTorchHugging FaceScikit-learnAWS SageMaker

Industry Keywords

3D AutoReviewgeometry parsingquality detectioncontext generationcustom rule creationreference data3D model ML pipelinesfeature extractionembedding generationmodel training

Tech Stack

Tools & technologies

AWSCloudNoSQLPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Includes extended health benefits
Unlimited paid vacation
RRSP/401K matching
100% health/dental coverage
Competitive compensation package that includes stock options