Senior Research Engineer I (Computer Vision and GPU Systems Management)
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Senior Research Engineer I (Computer Vision and GPU Systems Management) page is loaded Senior Research Engineer I (Computer Vision and GPU Systems Management) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R00016568
NTU-PKU Joint Research Institute mainly focus on joint research in Multi-Modal Big Data Analytics for Smart Cities. The research will support Singapore’s Smart Nation vision that harnesses technology and data to improve living standards, strengthen communities, and create more business opportunities.
The project involves the use of deep learning for object detection, human pose estimation, and 3D face modeling & simulation.
The Senior Research Engineer will be responsible for the development of Computer Vision solutions, as well as planning, implementing, and management of GPU computing infrastructure for research on Computer Vision, Image Processing, and Multimedia Forensics.
Key Responsibilities:
Working in research teams on Computer Vision projects in object detection, action & event recognition, and scene understanding
Design, implementation, and management of the GPU computing infrastructure for ROSE Lab
Hardware installation, and module level failure diagnosis and repair, as well as liaison and management of vendors for systems, storage, network, and server room facilities
Job Requirements:
Bachelors degree in Computer Science and/or Engineering, or related field
At least 10-years’ experience in Computer Vision, Linux systems and NVIDIA GPU management and related areas
Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets, in particular in a university or research lab
Proficiency in systems such as Linux (Ubuntu, centos), shell scripting, Docker, NFS and MooseFS, is mandatory.
Proficiency in software such as Caffe, PyTorch, TensorFlow, OpenCV, and programming languages such as C/C++ and Python is essential.
Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be a strong advantage.
Good inter-personal skills, with the ability to work with people from varied backgrounds
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU Similar Jobs (5) Research Fellow (Computational Imaging and Image Processing) locations NTU Main Campus, Singapore time type Full time posted on Posted 30+ Days Ago Research Engineer I (Satellite System Electronic Hardware) locations NTU Main Campus, Singapore time type Full time posted on Posted 14 Days Ago Research Assistant (Localization for Robotic System) locations NTU Main Campus, Singapore time type Full time posted on Posted 30+ Days AgoNTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).
Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.
Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.
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