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Posted 7 hours ago
Computational Designer
OXMANComputational Designer
Requirements
Advanced degree in Architecture, Landscape Architecture, or Computational Design, Proficiency in Houdini, Experience in procedural modeling, Portfolio of computational design work
Skills
HoudiniRhinoGrasshopper
About the role
About the Company
OXMAN is a nature-based research and design company based in Manhattan. We incubate ventures and technologies that reimagine the relationship between humanity and the natural world, working across disciplines from architecture and ecology to materials science and computation.
Responsibilities
- Collaborate with architects, ecologists, and planners to design nature-centric developments
- Use EDEN’s analytical and simulation tools to optimize land-use configurations for ecosystem services
- Develop and visualize design scenarios that balance ecological and human systems
- Build computational design workflows to analyze and optimize environmental performance
- Translate ecological and spatial data into procedural models for real-time iteration
- Collaborate with software engineers to refine tools that quantify ecological processes
- Work directly with clients to communicate performance outcomes and guide tool application
- Partner with ecology and computation teams to embed performance metrics into the design process
- Present design concepts and workflow methodologies to technical and non-technical audiences
Requirements
- Advanced degree or equivalent professional experience in Architecture, Landscape Architecture, or Computational Design
- Portfolio demonstrating computational and generative design in built or landscape contexts
- Mandatory proficiency in Houdini for computational geometry and procedural modeling
- Experience developing workflows for site planning, landscape analysis, or performance-based design
- Ability to synthesize complex environmental data into design logic and visualizations
Preferred Qualifications
- Experience with Rhino and Grasshopper workflows
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OXMAN · New York City
