DNN Model optimization Expert Engineer

Position Summary

Role and Responsibilities

Work Profile:

• Responsible for design and implementation of neural acceleration platform with support for accelerating the networks on one or more processing units.
• Lead, design & develop machine learning algorithms for use case realizations in mobile devices.
• Ensuring team is building high quality code via a predicable process.
• Along with product owners, Managers, and team leads to refine and prioritize the work backlog
• Identify opportunities to leverage the capabilities of existing platform to take it to the next level.

Necessary Skills / Attributes:

• Ph.D in machine learning or a related field; or advanced degree and equivalent industry experience.
• Experience in model optimization using compression/Quantization and Neural architecture search and also having good knowledge on LLM and LVM specifically for ondevice.
• Theoretical & practical knowledge of machine learning/ deep learning experience. Excellent track of research excellence, publications & patents.
• Proficiency in Python, Linux, C++, various shallow/deep learning framework (Pytorch/Tensorflow/AI-Edge)
• Proficiency in machine learning algorithms, statistical analysis, quantitative analysis and deep learning algorithms like convolutional neural network, recurrent neural network etc.
• Expertise in knowledge in writing multi-threading, multicore (Task parallelization, TPL, GPU) programs.
• Excellent knowledge in processor architectures (ARM (big.LITTLE.) (v7 & v8))
• Expertise in one of the server side machine learning frameworks.
• Prior experience on distributed computing, compiler development & understanding of low level optimizations is added advantage.

** Samsung/SRI-B has a strict policy on trade secrets. In applying to Samsung/SRI-B and progressing through the recruitment process, you must not/ you are not required to disclose any trade secrets of your current or previous employer.

Skills and Qualifications

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