Job Description

Responsibilities & Required Skills

• Research, develop, benchmark, test and document state of the art computer vision and image processing algorithms for autonomous driving applications within your assigned project team.
• Perform research into new vision technology, ideas, and approaches.
• Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
• Contribute to design reviews across algorithm teams.
• Consider next generation algorithms and new business opportunities.
• Develop algorithms 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.
• Strive to improve competencies in the field of automotive vision based ADAS, Computer vision and C++ in particular.
• Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm development. Perform state-of-the-art research into deep learning & Computer vision approaches and methodologies. Creation of initial high-level module and sub-module architecture at project kick-off as well as pre-dev projects. Provide expertise to algorithm and embedded leads in the design of all the CV/DL functions
• Experience with OpenCV programming.
• Academic publications in relevant field.
• Experience with Deep Learning, AI frameworks
• Experience with parallel programming in CUDA, or OpenCL.
• Algorithm development experience in robotics, ultrasonics, RADAR, LIDAR, camera systems, sensor fusion or computer vision.
• Experience with PC-based simulation 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.

• BE / B-Tech degree or ME / MS degree or PhD in Physics, Electronic Engineering, Software Engineering with minimum 10+ years' experience in Deep Learning
• Specialisation in one or more of these areas preferred: Computer Vision, Image Processing, Signal Processing, Robotics, Optics, and Machine Learning.
• Strong C, C++ programming skills or strong rapid prototyping skills in Python, Matlab, Octave.
• Good understanding of fundamental computer vision algorithms and approaches.
• Excellent English language communication skills, both written and verbal.
• High level of innovation and motivation.
• Excellent research experience