VALEO Hiring for Lead 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 driver

assistance and automated parking systems. The Computer Vision Department in Valeo India 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 deep learning engineer, you will be responsible for the development of state of the art solutions

enabling the next generation of Automated Driving Assistance Systems. Examples of such solutions include: Deep learning

based semantic segmentation, object detection, height & depth estimation, lane detection, park slot detection, object

classification & scene understanding, motion segmentation and fusion of multiple sensors. You will be expected to remain

abreast of technological developments support Valeo, DVS in maintaining and enforcing its position as world leader in the

field of automotive vision applications.

Responsibilities

 Research, develop, benchmark, and document state of the art deep learning solutions for autonomous driving &

parking perception applications.

 Perform research into new technology, ideas, and approaches in the deep learning domain.

 Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.

 Contribute to design reviews across algorithm teams.

 Come up with ideas for next generation algorithms and new business opportunities

 Develop algorithms with a view to implementing Hardware Accelerators

 Represent Valeo, DVS 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 relationships with university counterparts

 Transforming data science prototypes and applying appropriate ML algorithms and tools

 Identify and suggest / implement improvements within the current processes used in algorithm development

 Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries

and frameworks

 Developing ML algorithms to analyse huge volumes of historical data to make predictions

 Running tests, performing statistical analysis, and interpreting test results

Required Skills /Experience

 BE / B-Tech degree or ME / MS degree or PhD in Physics, Electronic Engineering, Software Engineering with

minimum 3 years’ experience in Deep Learning

 Industry experience in applied research in the field of deep learning and computer vision

 Exposure to state of the art technologies in Deep learning (e.g. GANs, LSTM, Bayesian Machine Learning,

 Experience in Deep Learning in one of the following: object detection, segmentation, tracking, pose estimation,

action recognition, differentiable rendering

 Expert in Python programming and good understanding of deep learning frameworks and workflow

 Experience in working with large data sets and developing infrastructure pipelines

 Strong fundamentals in 3D geometry

 Strong knowledge of camera parameters and colour models,

 High level of innovation and motivation

 Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture

 In-depth knowledge of mathematics, statistics, and algorithms

 Superb analytical and problem-solving abilities

 Good communication and collaboration skills

Desired Attributes

 Specialisation in Machine Learning preferred.

 Applied Deep Learning work experience preferred.

 Academic publications in relevant field

 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

 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.