Computational Design Intelligence Specialist II

New Balance-posted 4 months ago
Full-time • Senior
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This role develops intelligent computational systems that accelerate footwear and apparel design, enhance performance and fit, and transform enterprise workflows by using multimodal data and machine intelligence (AI/ML) systems. This role combines computational design expertise, machine learning, and systems engineering to build end-to-end solutions, from generative design tools to large-scale automation frameworks. This role offers a unique opportunity to shape the future of design through intelligent systems by bridging creativity, data, and automation.

  • Build and deploy ML pipelines in CAD and generative tools for concept exploration and insight generation.
  • Curate multi-modal datasets (3D scans, biomechanics, sensor data, consumer insights) and train models for geometry generation, semantic classification, and attribute prediction (fit, flexibility, durability, sustainability).
  • Extract and engineer geometric and physical features to enable predictive simulations, reusable design metrics, and measurable performance outcomes.
  • Deploy modular API-driven systems; maintain reusable code libraries, parametric definitions, and user guides to ensure scalability and continuity.
  • Develop and integrate multi-agent AI systems and workflows to address bottlenecks in manufacturing, product development, and enterprise infrastructure.
  • Partner with design, engineering, strategy, IT, e-commerce, and retail to align tools with enterprise goals; drive iteration through prototyping, feedback loops, and adoption support.
  • 5+ years of experience applying ML in computational design, architecture, product design, or related domains.
  • Strong portfolio showcasing projects at the intersection of design and ML (geometry-driven ML, spatial modeling, design automation).
  • Master’s degree in Architecture, Computational Design, ML, CS, or related field required, Ph.D. is preferred.
  • Proven ability to bridge creativity and engineering through computational methods.
  • Programming & ML: Python, PyTorch, TensorFlow, PyTorch3D, Open3D, Kaolin.
  • Data & Geometry: Parametric surfaces, polygonal meshes, point clouds, voxels, implicit SDFs, format conversion, geometric feature extraction.
  • Visualization & Simulation: Rhino/Grasshopper, Blender, Houdini, Unity, custom CAD/CAM plug-ins, generative design tools, fabrication-ready outputs.
  • Pipelines & Deployment: Scalable ML pipelines, data ingestion to deployment, API integration, spatial and visual workflow integration.
  • Computer Vision & Sensors: Image-based feature extraction, 3D sensor data, time-series data, physical behavior prediction.
  • Agentic AI & Automation: LangChain, CrewAI, reinforcement learning, multi-agent systems, autonomous workflows, enterprise automation pipeline.
  • Comprehensive traditional benefits package including three options for medical insurance, dental, vision, life insurance, and 401K.
  • Opportunities for online learning and development courses.
  • Tuition reimbursement.
  • $100 monthly student loan support.
  • Various mentorship programs.
  • Yearly $1,000 lifestyle reimbursement.
  • 4 weeks of vacation.
  • 12 holidays.
  • Generous parental leave.
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