AI Engineer - Manufacturing Analysis Platform
Role Overview
We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine.
You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability.
This is a founding engineering role with significant ownership and growth potential.
Key Responsibilities
AI/ML Development
- Design and implement ML models for geometric analysis of injection molded plastic parts
- Develop computer vision algorithms for automated feature detection in 3D CAD models
- Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
- Create real-time inference engines optimized for browser-based deployment using TensorFlow.Js/ONNX.Js
- Design data pipelines for continuous model training and improvement
Platform Architecture
- Architect browser-based AI systems that can process large 3D models efficiently
- Integrate STEP/STL file processing with AI analysis workflows
- Develop WebAssembly modules for high-performance geometry computation
- Build scalable model serving infrastructure supporting real-time analysis
- Implement feedback loops to continuously improve model accuracy
Manufacturing Analysis
- Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
- Build moldflow simulation capabilities using AI-accelerated CFD techniques
- Create cost optimization engines that recommend design changes for manufacturability
- Implement quality prediction models for common injection molding defects
- Design automated report generation with actionable manufacturing insights
Research & Innovation
- Stay current with AI/ML advances in manufacturing and CAD analysis
- Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
- Collaborate with manufacturing experts to validate and improve AI recommendations
- Publish research and represent the company at industry conferences
Required Qualifications
Technical Expertise
- 4+ years of AI/ML engineering experience with production deployments
- Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
- Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
- JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.Js, ONNX.Js)
- Computer vision and geometric deep learning experience
- Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
- Experience with fine tuning ML models
Software Engineering
- WebAssembly development for high-performance browser applications
- Cloud platform experience (AWS, GCP, Azure) for model training and deployment
- Database design for handling large geometric datasets
- Version control and CI/CD best practices
Mathematical Foundation
- Strong linear algebra and calculus background
- Statistics and probability for uncertainty quantification
- Computational geometry and mesh processing algorithms
- Optimization techniques for design parameter tuning
Preferred Qualifications
Domain Knowledge
- Manufacturing engineering background in injection molding or similar processes
- CAD software experience (SolidWorks, Fusion 360, etc.)
- Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
- Materials science knowledge for plastic properties and behavior
Advanced Technical Skills
- Graph neural networks for representing CAD geometry
- Reinforcement learning for design optimization
- Physics-informed neural networks for manufacturing simulation
- Edge computing and model compression techniques
- Real-time rendering with WebGL/Three.Js
Education & Experience
- Bachelors or Masters in Computer Science, Engineering, or related field
- 2+ years in manufacturing technology or CAD software companies
- Experience at high-growth startups building technical products from scratch for production
- Open source contributions in AI/ML or manufacturing tools