Job Description

Position Overview

As a computer vision research engineer & architect, you will be responsible for the development of state of the art
algorithms enabling Automated Driving Assistance Systems. Examples of such algorithms include: pedestrian detection,
structure from motion, lane detection, park slot detection, object detection and classification & scene understanding. You
will be expected to remain abreast of technological developments in your field and support VVS in maintaining and
enforcing its position as world leader in the field of automotive vision applications.
Responsibilities

? 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.

Required Skills/Experience

? BE / B-Tech degree and 15+ years of work experience, or ME/MS degree and 13+ years of work experience, PhD
in Computer Science & 10+ years of work experience, Physics, Electronic Engineering, Software Engineering.
? 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

Desired Attributes

? Specialisation in one or more of these areas preferred: Computer Vision, Image Processing, Signal Processing,
Robotics, Optics, and Machine Learning.
? 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.

Qualifications

BE / B-Tech degree and 15+ years of work experience, or ME/MS degree and 13+ years of work experience, PhD
in Computer Science & 10+ years of work experience, Physics, Electronic Engineering, Software Engineering.