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Samsung Semiconductor is looking to optimize computer vision pipelines for mobile products by developing and optimizing computer vision algorithms, neural network quantization, and embedded software development on Samsung Exynos SOC.

Requirements

• Python, C/C++
• Computer Vision Algorithms
• Machine Learning/Deep Learning
• implementation, optimization and verification of Computer Vision Algorithms
• Neural Network quantization, optimization and deployment on Samsung Exynos SOC
• Embedded Software development on Samsung Exynos SOC

Responsibilities

• Profile the end-to-end computer vision pipeline on Exynos SOC to identify latency and memory bottlenecks
• Collaborate with senior algorithm engineers to propose and prototype neural network architecture refinements (e.g. layer fusion, mixed precision, quantization)
• Design and implement post-processing algorithm improvements
• Integrate revised models and algorithms into the embedded software stack (HAL, Android/Linux build system)
• Validate functional correctness and accuracy trade-offs on synthetic and realistic datasets
• Document optimization methodology, profiling results, and performance gains in final presentation
• Complete other responsibilities as assigned

Other

• Pursuing Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a closely-related technical field (e.g., Robotics, Artificial Intelligence/Machine Learning, Applied Mathematics, or Embedded Systems)
• Must have at least 1 academic quarter/semester remaining
• You’re inclusive, adapting your style to the situation and diverse global norms of our people
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches
• Innovative and creative, you proactively explore new ideas and adapt quickly to change