• Apply BIM and Autodesk expertise to define and refine rules • Implement and enhance backend systems in Python • Work on BIM data normalization • Develop and evolve backend services following Clean Architecture • Translate engineering guidelines into auditable computational rules • Understand construction workflows and anticipate real-world design exceptions • Create and maintain documentation of technical principles

• Design, develop, and maintain high-quality web applications and backend services using Ruby on Rails. • Translate product requirements into technical solutions that balance business needs, scalability, and maintainability. • Collaborate cross-functionally with Product, Design, and other Engineering teams to plan, build, and ship features end to end. • Champion engineering best practices, including test-driven development (TDD), continuous integration, secure coding, and code documentation. • Participate in and lead technical discussions, architecture reviews, and domain modeling. • Mentor and support teammates, including conducting code reviews and providing thoughtful feedback to promote growth and code excellence. • Monitor and improve application performance, identifying and fixing bottlenecks, bugs, and other inefficiencies. • Contribute to a culture of continuous improvement, advocating for tools and processes that support remote collaboration and team effectiveness.

• Collaborate with top engineers on an innovative, technically challenging computer vision project • Build impactful systems that enhance safety across large fleets and industrial operations • Gain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring • Develop and optimize GPU-accelerated video inference pipelines for real-time processing • Implement, evaluate, and improve object detection models (YOLO or similar) • Build temporal smoothing and tracking logic for safety event detection • Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools • Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services • Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs • Collaborate on dataset curation, labeling, model training, validation, and experiment tracking • Support containerized deployments (Docker) and assist with monitoring and scaling production workload

• Compor o time de desenvolvimento, assumindo itens de trabalho para desenvolvimento a cada Sprint. • Executar as atividades de desenvolvimento de software de forma multidisciplinar, com foco na qualidade e manutenibilidade do produto, tais como requisito, análise e design, programação, gerencia de configuração, testes, implantação. • Gerir seu próprio trabalho sinalizando prontamente para a equipe sobre eventuais atrasos ou outros impedimentos.