Teams at Rhoda AI

Conduct project-specific research and engineering for generalist intelligent robots. Work may involve video-based robot policy learning, multimodal and vision-language models, simulation, SLAM, navigation, and robotics systems. Interns will train and debug large models, write production-quality research software, collaborate with mentors, and contribute to ongoing research projects in a fast-moving startup environment.

Own software quality for robotic systems, cloud services, and AI models by creating test plans, executing release qualification, and approving production readiness. Develop automated tests and test tools, investigate defects, analyze logs, track quality metrics, and drive root-cause resolution. The role requires strong Python and C++ programming, Linux debugging, and experience with complex software products. Robotics, AI/ML, hardware-in-the-loop, simulation, and regulated-environment testing are preferred.

Design and run experiments to evaluate optical sensors on robots in challenging real-world conditions. Analyze failures involving light, reflectance, heat, multipath, and dynamic range; tune sensor settings using SDKs and firmware; process images and point clouds with Python; reproduce field scenarios; and communicate recommendations to perception and hardware engineers.