As our new algorithm development engineer for automotive cyber security you will be part of an international team that designs, develops and integrates highly complex automotive software solutions for connected vehicles.
You will have the chance to accelerate innovation and growth, teaming with the world's most talented engineers.
For its customers, the biggest vehicle manufacturers in the industry, Garrett Cyber Security solution will provide a multi-layer and end-to-end cyber protection to the challenges connected vehicles face : cyber-attacks with exponential attack surfaces translated in costs of millions in recalls, millions in stock price, and millions in customer loyalty and confidence.
Garrett Cyber Security solution is developing an efficient intrusion detection system which runs on an electronic hardware in the vehicle and relevant cloud solutions which will help investigate manage fleets and assist in finding threats existing on vehicles and get to the root cause and prescribe solutions in a timely manner.
Garrett automotive software is developed by data scientists, embedded system engineers, cloud software developers and architects working closely with OEMs and other partners.
Main Responsibilities :
Provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs.
Apply data analysis techniques including machine learning, and automotive design knowledge on vehicle bus communication data (CAN, Ethernet, etc) to build models to distinguish normal operation from abnormal
Relate abnormal and normal behaviors to systems and components of an automotive by applying modeling principles and build relationships to cyber-attacks or health degradations of a vehicle or its system.
Work closely with a team of embedded software engineers to support the algorithms deployment on various embedded platforms fulfill the performance and operational goals
Promote algorithm development and data science methods and processes across functions
Skills and Qualifications
Experience with modelling and scripting languages Matlab, Python, R
Principles of statistical and applied mathematical model build from data captured from automotive recording devices
Deliver meaningful charts, graphs, or other data visualizations to convey information and results clearly and concisely
Knowledge and familiarity of statistical best practices’ and methods for data analysis.
Exceptional interpersonal and communication skills
Strong intellectual curiosity and result oriented
Passion for learning and innovating new methodologies
Above average capabilities with SQL and familiarity with NoSQL databases
Additional Qualifications :
BS or MS or Ph.D in Data Science, Statistics, Computer Science, Applied Mathematics / Science or Engineering degrees in Mechanical, Automotive, Control Engineering (electrical or mechanical)
1+ yrs of experience in data processing and model development / data science solutions.
1+ yrs of experience in with standard model building tools and languages tools like Matlab, Python
We value :
Good understanding of automotive subsystems and communication protocols (CAN, Ethernet, etc)
Cybersecurity Understand cyber security concepts, processes, and algorithms
Experience in building production grade machine learning enabled solutions end to end
Familiar with SQL, UNIX environment and scripting languages
Ability to work collaboratively with development / implementation staff through the design and build of new business processes and systems
We are offering
Competitive salary and an attractive benefits package
Extensive training programs
Career growth opportunities
Experienced leaders to support your professional development
Dynamic and international work environment