Principal Architect, Inference Systems

Job description

"

• Design and optimize large model inference engine architectures
• Develop efficient inference algorithms to drive down compute costs
• Enable edge device deployment and optimization
• Build a high-performance, low-latency inference serving platform" "
• 3+ years in relevant research with notable contributions in video generation, physics simulation, or 3D reconstruction
• Deep expertise in generative models (Diffusion, Transformer); experience with large-scale distributed training
• Able to independently define the technical roadmap and drive R&D for world models
• Strong academic influence and team leadership"