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

Position Overview

As an embedded computer vision software engineer, you will be responsible for the embedded development of computer
vision algorithms and supporting functions enabling Automated Driving Assistance Systems on state of the art multi-core
automotive SoCs. Examples of such algorithms include: pedestrian detection, lane detection, parking slot detection,
structure from motion, object detection and classification. Your responsibilities will extend to software architecture design,
reviewing algorithm design, module adaptation and optimisation in a real time multi-core automotive system.

Responsibilities

 Integrate computer vision algorithms and supporting functions on embedded platforms for automated driving
applications
 Work on state of the art multithreaded, multi-core SoC platform running RTOS
 Work on product development compliant with automotive processes and standards like ISO26262 and ASIL
 Perform research into new embedded architectures / platforms to ensure the organisation remains in line with all
leading edge / emerging automotive vision technologies
 Opportunity to work on next generation SOC platforms in complex systems for leading OEMs in the automotive
industry
 Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
 Role may require occasional travel to other company/customer locations

Required Skills/Experience

 5 years of experience with software development using C/C on embedded platforms (e.g. ARM and DSP)
 Familiarity with resource / load sharing and synchronisation techniques for multi-core processing
 Design & development of Computer vision algorithm on embedded platform
 Computer vision algorithm knowledge
 TI DSP & EVE, Renesas DSP, CVe & IMP-X5 knowledge
 Porting & Optimization of computer vision algorithms on embedded platform
 Good debugging skill on embedded platform
 Knowledge of basic computer vision algorithms and image formats
 Background in development tools and methodologies (build systems, configuration management-Git/Hg etc.)
 Excellent written and spoken English language skills
 High level of innovation and motivation
 Knowledge of embedded processor internals (specific hardware blocks and peripherals).
 Exposure to object oriented software design principles
 Knowledge of the software development lifecycle