Lead Software Engineer

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.