As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to develop industry-relevant applied research skillsets while working on translational robotics and AI projects. The primary responsibility of this role is to support a joint SIT–DSO research project focused on evaluating and developing humanoid robot capabilities for door opening and doorway traversal in human-centric environments. The Research Engineer will contribute to humanoid robot system integration, teleoperation-based data collection, simulation-based synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model development for sim-to-real humanoid manipulation research. Key Responsibilities Participate in and manage the research project together with the Principal Investigator (PI), Co-PI, and research team members to ensure project deliverables are achieved. Undertake the following responsibilities in the project: Humanoid Robot System IntegrationConfigure and integrate humanoid robot hardware and software systems for door opening and doorway traversal tasks.Support calibration, perception, locomotion, manipulation, and control pipeline integration. Experimental Testbed DevelopmentDesign and set up representative door interaction experimental environments.Conduct baseline testing and benchmarking for humanoid manipulation and traversal tasks. Teleoperation and Data CollectionDevelop and operate teleoperation pipelines for humanoid robot data collection.Collect, process, and manage robot demonstration datasets including perception, robot states, and control data. Simulation and Synthetic Data GenerationDevelop simulation environments and synthetic data generation workflows using NVIDIA Isaac Sim and Omniverse technologies.Implement domain randomization and scenario variation pipelines for