Overview
Join our team in building the next generation of AI capabilities across our geospatial software products, supporting indoor mapping and reality, roadway and utility GIS, and system observability solutions. Our team develops scalable, high-performance software that brings advanced spatial intelligence and automation to complex operational environments.
As a Software Development Engineer II focused on AI innovation, you will help research, prototype, and integrate AI technologies, including Large Language Models (LLMs), Computer Vision, and Multimodal Systems—into real-world applications. You will work closely with cross-functional engineering and product teams to deliver innovative features that improve workflows, automation, and user experience.
If you are passionate about geospatial technology, AI, and building practical solutions from emerging technologies, this is the place to grow your career.
Responsibilities
- Research and prototype AI-driven features for geospatial software products
- Integrate LLMs, computer vision, and AI services into existing applications
- Develop tools that automate workflows for indoor mapping and indoor reality creation, roadway and utility GIS, and GIS system observability
- Assist in model evaluation, benchmarking, and performance testing
- Contribute to spec-driven development and AI-assisted coding workflows
- Collaborate with cross-functional teams to deliver AI-powered features
- Document experiments, prototypes, and technical approaches
- Present findings on work; synthesize and address feedback
- Participate in software quality and code review processes
Requirements
- 2+ years of professional software development experience evaluating, prototyping, and integrating AI technologies and approaches into software solutions
- Strong proficiency in Python
- Strong understanding and the ability to develop software algorithms
- Working knowledge of JavaScript or TypeScript
- Experience building or integrating APIs and services
- Database knowledge, including SQL and data modeling
- Strong analytical and problem-solving skills
- Effective communication and teamwork abilities
- Bachelor's degree in Computer Science, Software Engineering or a related STEM field
Recommended Qualifications
- Experience building RAG (Retrieval-Augmented Generation) systems
- Familiarity with semantic search and vector databases
- Experience with computer vision models, such as:
- SAM (Segment Anything Model)
- YOLO family of models
- DINO (Distillation with No Labels)
- Experience with Gaussian Splatting
- Experience working with LLMs, such as:
- ChatGPT / OpenAI models
- Claude
- Gemini
- Llama
- Experience with image and video feature tracking and extraction
- Familiarity with Model Context Protocol (MCP) usage or development
- Basic experience with C++
- Familiarity with geospatial data formats, GIS concepts, and/or ArcGIS
- Experience or exposure to spec-driven development or AI-assisted coding
- Master's degree in Computer Science, Software Engineering or a related STEM field