Staff Research Scientist, Artificial Intelligence
Core
Architect and validate novel AI solutions fusing modern machine learning with physical world data (multimodal sensory, RF, actuators) for edge deployment.
Role type
Staff Research Scientist, Artificial Intelligence
Builds
Novel AI architectures and custom training paradigms for physical signals at the edge
Domain
Semiconductor / Intelligent Edge / Physical AI
Deliverable
production ML models
Required skills
Deep learning theory, Transformers, State Space Models (Mamba), Diffusion Models, Self-Supervised Learning, Reinforcement Learning, Flow Matching, few-shot/meta-learning, PyTorch, JAX, model distillation, neural architecture search, signal processing fundamentals
Preferred skills
Model quantization, embedded deployment, circuit concepts, Fourier transforms, strong publication record in top conferences
Technologies
PyTorch, JAX, cloud platforms
Responsibilities
Define strategic AI problems requiring deep technical innovation, lead research-to-product execution from concept to proof-of-concept, design neural architectures tailored to physical data physics, research efficient AI techniques for edge constraints, mentor junior engineers
Seniority
Staff, hands-on IC with strategic scope
