Automated Driving - Localization Mapping

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Automated Driving – Localization Mapping

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Basic Qualifications:

  • Bachelor of Science degree in Applied Physics, Mechanical, Electrical, Aerospace, or Computer Engineering, Computer Science or related Engineering field
  • Minimum of 2 years engineering experience in a related field
  • Working level knowledge of high definition lane level maps required for Highly Automated Driving working level experience in several of the key areas listed below:
    • Mapping techniques
    • Competitiveness of available industry offerings/map data suppliers
    • Accuracy and types of attribute data and layering techniques
    • Geospatial location and triangulation theory and methodologies
    • Industry utilized data formats and communication protocols such as ADASIS, NDS, ProtoBuf, and SensorIS
    • Criticality of map freshness, and dynamic layers
    • Industry utilized data update methodologies inclusive of crowd source techniques and big data analytics
    • Working level knowledge of map data/update validation tools/techniques/methodologies
    • Vehicle to Cloud Connectivity methodology and business models
    • Map data scalability to manage low to high content vehicles
    • Qualitative measures to understand the reliability of map data
    • Sensor data analytics and corresponding parameters required to produce crowd sourced map updates
    • Management of dynamic short lived map data
    • Competitive industry features based upon E-horizon data sets
    • Working level knowledge of ground truth reference level sensors, dGPS, SLAM based map matching algorithms, visualization tools
    • Demonstrated ability to author engineering level requirements
    • Strong interpersonal communication and leadership skills/experience
  • Mapping techniques
  • Competitiveness of available industry offerings/map data suppliers
  • Accuracy and types of attribute data and layering techniques
  • Geospatial location and triangulation theory and methodologies
  • Industry utilized data formats and communication protocols such as ADASIS, NDS, ProtoBuf, and SensorIS
  • Criticality of map freshness, and dynamic layers
  • Industry utilized data update methodologies inclusive of crowd source techniques and big data analytics
  • Working level knowledge of map data/update validation tools/techniques/methodologies
  • Vehicle to Cloud Connectivity methodology and business models
  • Map data scalability to manage low to high content vehicles
  • Qualitative measures to understand the reliability of map data
  • Sensor data analytics and corresponding parameters required to produce crowd sourced map updates
  • Management of dynamic short lived map data
  • Competitive industry features based upon E-horizon data sets
  • Working level knowledge of ground truth reference level sensors, dGPS, SLAM based map matching algorithms, visualization tools
  • Demonstrated ability to author engineering level requirements
  • Strong interpersonal communication and leadership skills/experience

Preferred Qualifications: 

  • Master of Science degree in Mechanical or Electrical Engineering from an ABET accredited university
  • Demonstrated experience with Dead Reckoning design theory
  • Working level knowledge of visual odometry and egomotion
  • Experience with machine learning techniques
  • Working level knowledge of CAN/Vector tools for data collection and analysis
  • Experience with driving vehicles at handling limits.
  • DFSS certification — or participation in several projects start through completion
  • Experience with defining vehicle communication architectures
  • Familiarity with REST API, MQTT topics and corresponding interfaces
  • Experience in generating statement of work/scope documentation or responding to Request For Quotes
  • Familiarity with system level re-simulation (i.e. HIL or SIL)
  • Experience with automotive EDR (event data recorder) systems
  • General working knowledge and previous exposure to ISO26262, SOTIF, and Cybersecurity
  • Critical Character Traits to Ensure Success:
  • Ability to think outside-the-box in high pressure situations
  • Ability to multi-task
  • Detail oriented problem-solver

FCA US is proud to extend to its employees a compensation and benefits package that is designed to retain their talent and to motivate and reward job performance. Our present compensation program provides for competitive, market based salaries, and annual vacation and holiday time off. We make available a comprehensive health care benefits plan which, depending upon the employee’s role, includes medical, dental, vision and prescription drug coverage. We also offer a disability absence plan, group and optional life insurance program, savings plan, tuition assistance, and vehicle purchase and lease discounts for certain employees, and for their family and friends.

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity.

Note: Some of the benefits listed above may not apply to summer vacation replacement and temporary employees.

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