Lead System Engineer
Core
Design and optimize Computer Vision and Machine Learning AI models for deployment on Sony-compatible edge devices and embedded systems.
Role type
Lead System Engineer (Edge AI/Computer Vision)
Builds
Production AI models and MLOps pipelines for edge devices
Domain
Consumer Electronics / Edge AI / Embedded Systems
Deliverable
production ML models
Required skills
IoT system architecture, network protocols, Hardware Abstraction Layer (HAL) development, Edge Vision AI, Computer Vision, Low Level Programming (C/C++), Object Oriented Programming (C++/Python), System Design and Architecture, Firmware/Embedded Engineering, Sensor Driver Development, Image Sensor Fundamentals, Machine Learning / AI Fundamentals, On-Premise Data Ingestion and Storage
Preferred skills
Experience with model conversion from common ML frameworks to edge AI processors, cross-regional collaboration, exploratory discussions with potential partners
Technologies
C/C++, Python, Edge AI processors, MLOps tools, Image Sensors
Responsibilities
Develop and design Computer Vision and Machine Learning technologies for edge devices; Optimize production AI models for enterprise customers; Evaluate AI models using test images and system accuracy; Collect annotated datasets for training; Collaborate with open-source and internal teams to build MLOps experiences; Design and develop pre/post-processing pipelines; Lead and guide products toward launch with engineering and marketing teams; Provide technical support and guidance to customers on model conversion and toolchains.
Seniority
Senior, hands-on IC with leadership responsibilities
