Deep learning embedded platform developer

Be responsible for architecture and development of software stacks targeting deep learning accelerators

  • Porting specific deep learning neural network to edge devices, IoT board, FPGA board.

  • Develop applications, middleware and drivers in the deep learning domain

  • Profile, analyze and optimize system level performance, develop new tooling where necessary

  • Participate in design reviews, API development, and documentation

  • Deliver investigation plans and reports, architectural documents, design specs, software source code, build scripts

  • Perform tasks including debug, bring-up, Beta and production software development

Requirements:

  • Graduate with a first-degree or higher degree in Computer Science, Electronic Engineering or relevant disciplines

  • Experience in software development building production software systems

  • Experience in C/C++/python development

  • Experience working with devices in an embedded environment

  • Knowledge of PyTorch/TensorFlow/Caffe, embedded system or open-source tools including CUDA, OpenCV, etc is a plus

  • Experience with code optimization

  • Experience with performance profiling tools

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Assistant Product Marketing Manager

Responsibilities:

  • Analyze the trends and competition offerings in market

  • Drive product planning and develop the go-to-market strategy

  • Manage periodic product presentation

  • Support on establishing and driving actions towards achieving business goals

  • Support on office administration duties and office procurement

  • Support on other ad hoc duties as required with different team within the business

Requirements:

  • Bachelor degree or above in Electronic Engineering, Customer Services, Product Design, Marketing or related fields

  • Prefer with experience in product marketing, and specializing in market operations for electronic products. Fresh graduate will also be considered

  • Proven track record on driving and implementing product strategy will be advantageous

  • Strong problem-solving and analytical background

  • Self-motivated with sense of urgency and initiative

  • Excellent communication skills and ability to work with people from diverse cultures

  • Occasional travel may be required

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Graduate Engineer

Responsibilities:

  • Carry out research and development on innovative machine learning and deep neural network applications

  • Machine learning algorithm analysis, data set training and modeling

  • Perform algorithm evaluation and quality assessment

  • Optimize DNN algorithms on the different embedded platforms and software implementation

Requirements:

  • Graduate with a first-degree or higher degree in Computer Science, Electronic Engineering or relevant disciplines

  • Sound knowledge or course project experience in one or more of the following areas:

    • Artificial intelligence, computer vision, object classification, background modeling, image/video processing, and relevant subjects

    • Computer architectures, embedded systems, design and analysis of algorithms

    • Signal processing, image/video processing

  • Proficiency in C/C++ and Python programming preferred

  • 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.

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