Continental Corporation ADAS Algorithms - Artificial Intelligence Engineer in Queretaro, Mexico

About Continental With sales of €44 billion in 2017, Continental is among the leading automotive suppliers worldwide and currently employs more than 238,000 employees in 61 countries. The Chassis & Safety division develops and produces integrated active and passive driving safety technologies as well as products that support vehicle dynamics. The product portfolio ranges from electronic and hydraulic brake and chassis control systems to sensors, advanced driver assistance systems, airbag electronics and sensorics as well as electronic air suspension systems all the way to windscreen washer systems and headlight cleaning nozzles. The focus lies on a high level of system competence and the networking of individual components. Thus products and system functions are developed along the SensePlanAct chain of effects. They form the foundation for automated driving. Chassis & Safety employs more than 47,700 people worldwide and generated sales of approximately €9.8 billion in 2017.

Auto req ID 89307BR

Job Title ADAS Algorithms - Artificial Intelligence Engineer

Country Mexico

Posting Location Queretaro

Job Description

The Artificial Intelligence Algorithm Engineer will be responsible for the development, design and maintenance of statistical models in radar, camera, fusion, and/or vehicle control systems. The engineer will actively work with internal and external engineering teams to bring products into production, verifying that algorithms meet both internal and external requirements. The daily work will include analysis and improvement of previously written statistical models, as well as the the creation of efficient new models that are designed to run on automotive computational units.

Overview

The Driving Functions Algorithm Engineer will be responsible for the development, design and maintainance of features in radar, camera, fusion, and/or vehicle control systems. Actively work with internal and external engineering teams to bring products into production.

Additional responsibilities

­ Develop embedded sensor algorithms to meet product requirements

­ Utilize advanced data analysis techniques to provide insight and inspire future development

­ Maintain correspondence with multiple engineering teams, both internal and external.

­ Maintain a thorough understand of customer and product requirements

­ Follow the Continental material life cycle development process, including code, requirement, and test result reviews

Basic Qualifications

­ Effective communication in English (TOEIC 700+)

­ BS degree in related Engineering field, Computer Science, Physics, or Mathematics

­ Strong ability to solve problems in logic, mathematics, and dynamics

­ Firm grasp of statistical concepts

­ Proficient at implementing algorithms with C/C++ programming

­ Skilled at analysing large sets of data using Python/Matlab

­ Experience developing complex software

­ Solid knowledge developing prediction, tracking, and classification algorithms for computer vision, machine learning etc

­ Willingness to work on different sensor products, and serve many different roles to fill department needs

­ Must be willing to travel internationally or domestically, approximately 10% of time may be spent in other locations

Job Requirements

Preferred Qualifications

­ Fluent communication in English (TOEIC 900+)

­ M.S./Ph.D. degree in related Engineering field, Computer Science, Physics, or Mathematics

­ Expert ability to solve problems in logic, mathematics, and dynamics

­ Experience developing automotive controls systems

­ Self­motived, with an ability to work within a team or autonomously

Contact Name Raquel Aguilar

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