Deep learning embedded platform developer
Be responsible for architecture and development of software stacks targeting deep learning accelerators
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Porting specific deep learning neural network to edge devices, IoT board, FPGA board.
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Develop applications, middleware and drivers in the deep learning domain
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Profile, analyze and optimize system level performance, develop new tooling where necessary
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Participate in design reviews, API development, and documentation
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Deliver investigation plans and reports, architectural documents, design specs, software source code, build scripts
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Perform tasks including debug, bring-up, Beta and production software development
Requirements:
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Graduate with a first-degree or higher degree in Computer Science, Electronic Engineering or relevant disciplines
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Experience in software development building production software systems
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Experience in C/C++/python development
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Experience working with devices in an embedded environment
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Knowledge of PyTorch/TensorFlow/Caffe, embedded system or open-source tools including CUDA, OpenCV, etc is a plus
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Assistant Product Marketing Manager
Responsibilities:
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Analyze the trends and competition offerings in market
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Drive product planning and develop the go-to-market strategy
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Manage periodic product presentation
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Support on establishing and driving actions towards achieving business goals
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Support on office administration duties and office procurement
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Support on other ad hoc duties as required with different team within the business
Requirements:
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Bachelor degree or above in Electronic Engineering, Customer Services, Product Design, Marketing or related fields
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Prefer with experience in product marketing, and specializing in market operations for electronic products. Fresh graduate will also be considered
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Proven track record on driving and implementing product strategy will be advantageous
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Strong problem-solving and analytical background
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Self-motivated with sense of urgency and initiative
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Excellent communication skills and ability to work with people from diverse cultures
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Occasional travel may be required
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Graduate Engineer
Responsibilities:
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Carry out research and development on innovative machine learning and deep neural network applications
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Machine learning algorithm analysis, data set training and modeling
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Perform algorithm evaluation and quality assessment
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Optimize DNN algorithms on the different embedded platforms and software implementation
Requirements:
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Graduate with a first-degree or higher degree in Computer Science, Electronic Engineering or relevant disciplines
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Sound knowledge or course project experience in one or more of the following areas:
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Artificial intelligence, computer vision, object classification, background modeling, image/video processing, and relevant subjects
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Computer architectures, embedded systems, design and analysis of algorithms
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Signal processing, image/video processing
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Proficiency in C/C++ and Python programming preferred
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Knowledge of PyTorch/TensorFlow/Caffe, embedded system or open-source tools including CUDA, OpenCV, etc is a plus
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How to apply?
Interested parties please send your application to info@enaichip.com by quoting job title with detailed resume including current and expected salary by email. Only short-listed candidates will be contacted.
All data provided will be kept in strict confidence and will be used for employment-related purposes only.