Physiker/in
On-site
Core
Define end-to-end system architecture, develop data pipelines and algorithms for event/data-efficient inference, and optimize models for edge hardware.
Role type
Entry-level IC embedded systems engineer (student/trainee)
Builds
Tiny chips and edge AI inference systems
Domain
Semiconductor / Edge AI
Deliverable
production ML models
Required skills
System architecture, data pipeline development, algorithm development, model optimization (quantization/pruning), real-time integration, validation and benchmarking
Technologies
Edge hardware, simulation frameworks, benchmarking tools
