VALEO Hiring for Computer Vision Research Software Engineer at Chennai, Tamil Nadu Full Time

Company Overview

Headquartered in Tuam, Co. Galway, Valeo Vision Systems VVS is the world leader in

providing advanced driverassistance and automated parking systems. The Computer Vision

Department is responsible for developing custom-built state-of-the-art algorithms intrinsically

designed to leverage the full power of today’s most advanced multi-core automotive

embedded platforms. Computer vision algorithms developed include: 3D object detection,

pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling

detection, lane and park-slot detection, and much more. The outputs from these algorithms

feed into a detailed map of the vehicle’s environment via advanced sensor fusion. The team

specialise in redefining state-of-the-art computer vision techniques for object detection,

classification, structure from motion, localisation, mapping and deep learning in order to

deliver next-generation advanced driver-assistance and automated driving systems for

leading European, American and Asian OEMs.

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.

● 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.