Responsibilities
- Architect and implement software solutions that translate and advance Eden Technologies into integrated, user-friendly, visually engaging applications.
- Develop computational methods in data-driven optimization, simulation, and design generation, aligned with Eden Technologies, to enhance ecosystem services, biodiversity, and ecological resilience
- Define and drive the software development roadmap, ensuring alignment with OXMAN's overarching mission and project timelines.
- Develop web-based or desktop applications with interactive 3D rendering capabilities.
- Collaborate closely with interdisciplinary teams, including computational ecologists, researchers, and designers, to integrate computational methods into robust software products.
- Explore and propose suitable frameworks, game engines, and pipelines to deliver high-quality experiences and real-time performance.
- Integrate GIS and geospatial data into software solutions, enabling spatial analysis and visualization of ecological data.
- Ensure vertical integration of computational tools into cohesive software and horizontal integration through efficient maintenance and modular codebase management.
- Actively contribute to defining software architecture and implementing best practices in coding, testing, and deployment.
- Provide technical documentation and support, ensuring usability, maintainability, and scalability.
Qualifications
- PhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant field
- Minimum 4 years of experience
- Proficiency in modern variants of programming languages such as JavaScript, TypeScript, or C++.
- Familiarity with 3D web rendering frameworks (e.g., Three.js) or game engines (Unity, Unreal Engine).
- Familiarity with 3D applications such as Rhino Grasshopper, SideFX Houdini is a plus.
- Ability to work collaboratively in multidisciplinary teams.
- Strong problem-solving skills, enthusiasm, and creativity to approach complex software development challenges.
- Experience with GIS (Geospatial Information Systems) and analysis of remote sensing data.
- Experience with computational methods, particularly in applications related to generative design, data-driven optimization and environmental modeling.
- Understanding of deep generative modelling methods as it relates to design generation.
- Understanding of reinforcement learning techniques and their application in data-driven design optimization scenarios.
- Understanding of computational simulation methods for environmental modelling.
- Familiarity with ecological modeling, environmental data analysis, or sustainability-focused design principles.
- Experience integrating environmental datasets (e.g., climate data, biodiversity records) into software applications.
Preferred Qualifications
- Experience or interest in ecological design or architecture software.
- Previous involvement with computational modeling, visualization, or simulation software.
- Understanding or willingness to learn about ecosystem services, environmental data, and spatial analytics.
- Experience collaborating in interdisciplinary teams, bridging software engineering with fields like ecology, architecture, or biology.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Location
- On-site, with flexible arrangements available.
Top Skills
What We Do
Envision a future of complete synergy between Nature and humanity, where human-made and Nature-grown become indistinguishable.
OXMAN is a new kind of company fusing design, technology, and biology to invent multi-scale products and environments—allowing design to empower science and science to empower design. As activist designers, we call for a fundamental shift from human-centric design to Nature-centric design. Categorical delineations between climate change and global pandemics, loss of biodiversity and loss of empathy for one another give way to authoring systems that address manifold challenges. Through this shift, we open ourselves up to moving beyond mere maintenance of Nature toward its radical betterment







