Computer Vision Deep Learning Engineer

Location
Galway
Salary
Negotiable
Posted
18 May 2017
Closes
15 Jun 2017
Ref
JP17
Contact
Justin Pankinas
Sector
Engineering
Job Type
Permanent
Hours
Full-time
Position Overview
As a computer vision deep learning engineer, you will be responsible for the development of deep learning solutions enabling the next generation Automated Driving Platforms. Deep learning will be applied to classify all objects, road markings and surfaces in the vehicle environment. You will be responsible for the development of state of the art DL algorithms providing unprecedented scene understanding. You will be expected to remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive

Responsibilities:
*Perform state-of-the-art research into deep learning approaches and methodologies
*Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
*Contribute to design reviews across algorithm teams.
*Design, train, and optimize Deep Neural Networks with a view to implementing on embedded DSP platforms
*Represent VVS at various Industry Working Groups and at Conferences where directed
*Support the design and implementation of in-company training sessions in your area of expertise
*Develop and maintain relationship with university counterparts
Qualifications:
*BSc degree and 2+ years of work experience, or MSc degree and 1+ years of work experience, or PhD in any area with a focus on deep learning
*Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning
*Excellent English language communication skills, both written and verbal
*Specialisation in Machine Learning preferred.
*Applied Deep Learning work experience preferred.
*Experience with embedded devices (e.g. ARM, FPGA and DSP)
*Experience with parallel programming in CUDA, or OpenCL
*Algorithm development experience in robotics, sensor fusion, computer vision or applicable field
*Experience with PC-based simulation tools
*Knowledge of UML design tools
*Experience developing software for embedded platforms.
*Experience with version control software
*Experience developing algorithms for autonomous and/or real-time systems.
*Experience with imaging or optics systems.
*Automotive industry experience preferred.

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