Lead Edge AI Engineer
Is deze vacature iets voor u?
Mijn cv maken Maak uw cv en ontdek uw matchpercentage met deze functie — en met alle andere.
De functie
Lead the development and refinement of Hydranet-based multi-task learning models and video action recognition for edge devices using PyTorch.
Drive end-to-end edge deployment on embedded Android platforms, integrating with Qualcomm SNPE/QNN DSP workflows.
Optimize models for resource-constrained environments by reducing power consumption, managing thermal constraints, and minimizing latency during model switching.
Ensure system stability with safe graph reconfiguration and robust runtime management for dynamic model loading/unloading.
Collaborate with Firmware and Mobile teams to fuse signals for informed decision-making and real-time localization tasks.
Provide technical leadership, mentor team members, and communicate complex data insights to cross-functional stakeholders.
Drive end-to-end edge deployment on embedded Android platforms, integrating with Qualcomm SNPE/QNN DSP workflows.
Optimize models for resource-constrained environments by reducing power consumption, managing thermal constraints, and minimizing latency during model switching.
Ensure system stability with safe graph reconfiguration and robust runtime management for dynamic model loading/unloading.
Collaborate with Firmware and Mobile teams to fuse signals for informed decision-making and real-time localization tasks.
Provide technical leadership, mentor team members, and communicate complex data insights to cross-functional stakeholders.
Bekijk de volledige vacature
Taken, profiel, vaardigheden en voordelen — maak gratis een account aan.
Al een account? Inloggen
Vergelijkbare vacatures
Andere functies die kunnen passen.