• Design, build, test, and maintain robust custom software applications, plugins, and internal platforms for diverse engineering and spatial design purposes

• Build, maintain and improve computational workflows and products across the firm

• Engineer seamless data pipelines across varied environments, including GIS platforms, 3D/BIM modeling software, cloud infrastructure, and modern software development toolchains

• Apply data science methodologies, statistical modeling, and machine learning/deep learning algorithms to extract insights from complex spatial, environmental, economic, and demographic datasets

• Continuously maintain, refactor, and improve existing computational workflows, codebase repositories, and data processing architectures

• Clearly communicate complex algorithmic and software concepts to both technical and non-technical audiences using written documentation, technical reports, and visual diagrams

• Collaborate with internal and external clients to understand their needs and develop strategies

• Stay up to date with advances in software engineering, modern GIS frameworks, spatial analytics, and AI/ML applications to keep company workflows cutting-edge

• Create presentation and report materials to support projects

• Build quality relationships with team members and across the organization

• Bachelor’s Degree in Computer Science, Data Science, Statistics, Software Engineering, Architecture, Computational Design, Digital Media or related fields (Master’s Degree preferred)

• Strong proficiency in Python (e.g., FastAPI, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and JavaScript/TypeScript (e.g., Node.js, React, or modern web mapping frameworks)

• Experience designing and querying relational/spatial databases (e.g., PostgreSQL/PostGIS) and building ETL/ELT pipelines for complex datasets

• 3+ years of relevant experience in building and maintaining large scale data processing and predictive systems. Knowledge in data mining and analytics methods such as regression, classifiers, machine learning and deep learning algorithms

• Formulate open research problems at the intersection of GenAI, multimodal reasoning, and large-scale information retrieval defining the scientific questions that transform ambiguous, real-world catalog challenges into publishable, high-impact research

• Practical experience or research interest in GenAI, large language models, retrieval-augmented generation (RAG), or AI tools applied to software engineering workflows

• Stay up to date with the research literature and product advances in AI for software engineering 

• Ability to deliver in challenging project timeframes and deadlines

• Excellent verbal, written, and graphic communication skills

• Collaborate across disciplines with teams across organization

• Critical thinking skills to develop innovative solutions

Additional Information:

We request applicants submit a portfolio/Website or GitHub link highlighting relevant software tools, open-source contributions, data science projects, or geospatial applications. 

Selected applicants will be asked to present a past project for technical review.