• Teaching and training robotic and technical curriculum for the age groups of 7 to 16 years • Taking one on one online class • Grading students and communicating with parents about their progress • Facilitating student learning and overseeing hands-on learning • Helping students progress through formal and informal assessments

• Design, develop, test, and debug features for our autonomous construction equipment • Analyze robot performance to quantitatively prioritize bug fixes and performance upgrades • Optimize controls systems for cycle time and accuracy • Develop and maintain code quality standards and best practices • Participate in shaping the product road map and deploy code every day

• Lead the design, development, and deployment of autonomous capabilities for heavy construction equipment • Architect high-level planners for new construction tasks • Mentor and guide multidisciplinary engineering teams through technical design reviews and implementation • Collaborate closely with hardware, software, and operations teams to integrate robotic systems into the field • Improve reliability, safety, and performance of deployed autonomous systems • Own technical road maps and help shape long-term product strategy

• Evaluate, select, and implement the simulation stack for R3's robotic disassembly cells, integrating across robot programming, middleware, and CAD environments. • Build and maintain an automated recipe validation pipeline: ingest battery pack 3D scans, run candidate disassembly recipes in simulation, check for collisions, reachability, and force limits, and output validated programs ready for deployment. • Establish and maintain a single geometric source of truth across simulation, robot controller, and CAD ensuring that coordinates validated in simulation transfer to the physical machine without manual adjustment. • Develop PLC emulation and virtual commissioning capabilities to enable high-fidelity testing of safety interlocks, sensor triggers, and I/O sequences without requiring the physical cell. • Design the simulation architecture to support layered fidelity: fast kinematic checks for rapid iteration and full dynamic simulation for final validation. • Collaborate with the middleware, perception, and mechanical design teams to ensure simulation models stay synchronized with the evolving robotic cell design. • Create CI/CD workflows for simulation: automated regression testing of recipes before deployment, version-controlled simulation assets, reproducible test environments. • Contribute to the long-term architecture for ML-assisted recipe generation using simulation as the feedback loop. • Document simulation procedures, validation criteria, and deployment best practices.