Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.

The Automotive group sector comprises technologies for passive safety, brake, chassis, motion and motion control systems. Innovative solutions for assisted and automated driving, display and operating technologies, as well as audio and camera solutions for the vehicle interior, are also part of the portfolio, as is intelligent information and communication technology for the mobility services of fleet operators and commercial vehicle manufacturers. Comprehensive activities relating to connectivity technologies, vehicle electronics and high-performance computers round off the range of products and services.

Experience in Computer Vision, Machine Learning or related discipline, with at least 5+ years of industry experience

Deep theoretical knowledge and hands-on experiences in Computer Vision, Image Processing and Machine Learning including Scale Invariant Descriptors, High-Dimension Classifiers,

Deep Learning methods.

Experience with basic Image Processing algorithms like Segmentation, Filtering Strong in Linear algebra and Probability theory.

Good analytical skill set,

Experience in algorithm design for Vision problems

Experience in open source Computer Vision libraries Opencv, OpenGL Experience in open source Deep Learning libraries Keras, Tensorflow, Caffe

BTech / MTech in Computer Science or Electrical / Electronics Engineering

Ability to rapidly prototype and evaluate algorithms

Ability to develop practical solutions to complex problems Should be good in C and C++ Programming.

Good to have experience in Matlab, Python, and version control. Good to have experience with Automotive Industry.

Excellent communication skills

Familiarity with documenting Software Architecture and Design using UML or similar tools Background in development tools and methodologies (Build

systems, Configuration management)

Experience in writing Software Module test script (Functional, Unit / Integration testing) Familiar with Automotive industry quality and standards

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