• Participate in meetings and events within the assigned team as well as company-wide • Use version control tools and keep your tasks organized in Azure DevOps • Perform fixes and enhancements across various projects within the company context, and develop small features using object-oriented programming languages • Execute tests for assigned tasks to ensure product quality and reduce the number of issues reported by QA • Perform code reviews for other team members, always aiming for technical improvement • Apply development best practices and implement unit and integration tests • Participate in requirements-gathering meetings for specific features; evaluate and propose technical solutions for problems raised within the company • Perform refactoring and improvements on legacy code, mapping the risk and potential impacts on the project • Contribute to the learning and knowledge of colleagues with lower levels of seniority • Estimate and mitigate impacts of more complex tasks • Assist other developers (Intern, Junior and Mid-level) with onboarding, code reviews and pair programming, informing them about standards and technologies used • Support the Tech Lead in guiding the team regarding code quality

• 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