Job Description

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)
Degree in Software Engineering, Computer Science, Electronics
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
Desired Attributes
Experience with parallel programming in CUDA, or OpenCL , OpenVX,
Expertise on Broadcom Pixel processor
Understanding of prototyping/scripting tools such as MATLAB, Python, OpenCV etc.
Familiarity with documenting software architecture and design using UML or similar tools
2 years of experience in multi-core video processing algorithms
Knowledge of automotive processes and standards such as ISO26262 and ASIL
Worked in a regulated industry such as automotive or aerospace

Degree in Software Engineering, Computer Science, Electronics
Education: Any Graduate
Industry: Manufacturing/Industrial

Skills Required