Research Scientist (Embodied AI & World Models)

Lead AI/ML research in embodied AI and world models, with a focus on hardware-aware algorithms for edge/embedded systems. Generate ideas, design experiments, implement and evaluate results using PyTorch or JAX. Prepare, submit and present work at AI conferences and workshops; publish open research outcomes. Collaborate with researchers, silicon and software engineers to define and test the next generation of AI hardware. Work on multimodal, real-time perception tasks in robotics, autonomous driving, AR/VR, including real-time computer vision and processing of audio/video streams. Bring strong mathematics and ML experimentation skills, with proven ability to design, run and report experiments.