rnn jobs in San Diego

Design and develop advanced machine learning models for automotive radar signal processing, including end-to-end ML pipelines from data preprocessing through model training, validation, and performance optimization. Evaluate novel deep learning architectures (CNNs, RNNs, Transformers) for radar data analysis and optimize models for real-time embedded deployment under latency, memory, and power constraints.…See more Bridge research and production by translating state-of-the-art ML techniques into scalable algorithms for radar-based detection, classification, and tracking, with strong requirements in signal processing, statistical analysis, and Python/PyTorch/TensorFlow proficiency.

Qualcomm seeks a Senior AI Performance Architect to design hardware accelerator architectures optimized for AI training at scale. The role involves analyzing GPU/accelerator architectures, defining computational blocks supporting multiple datatypes and precisions, architecting memory and scale-out systems, and codesigning hardware with software/LLM requirements.…See more Responsibilities include competitive analysis, performance modeling, and pre-silicon prediction for ML training workloads. The ideal candidate spans software architecture, algorithm development, kernel optimization, and hardware accelerator design.