Deep learning embedded platform developer

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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

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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

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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 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.

Thanks for submitting!