Senior 3D & AI Systems Software Developer
Remote
Job Summary
Contribute to backend development for 3D AutoReview features, managing pipeline architecture through production delivery. Experiment with geometry parsing, quality detection, and context generation for 3D model review. Partner with backend, frontend, and product teams to drive high-impact feature delivery with cross-functional alignment. Collaborate with ML teams to incorporate intelligence into the 3D review process and develop extensible systems for custom rule creation and reference data. Help set and maintain high technical standards across the team while solving ambiguous challenges without detailed specs. Fully remote within North America with competitive compensation including stock options, extended health benefits, and unlimited vacation.
Required 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 communicator—able to translate technical problems into clear paths forward
Desired Qualifications
- ideally with exposure to 3D CAD modelling or using tools like OpenCascade or Parasolid
- worked in ML/LLM environments or with HOOPS
- Experience with CAD modeling software like SolidWorks, Creo, or OnShape
- Experience with mechanical engineering concepts
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