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Current Openings

Model-Based Developer Oct. 8, 2019

NO THIRD PARTY RESUMES ACCEPTED

Objective
Mobis North America continues to grow its autonomous driving research and development team at its Plymouth Michigan MTCA site, and has need of software engineers to support autonomous driving and other intelligent vehicle technologies projects. Required competencies are expert skills developing model-based software with Matlab/Simulink and a strong math background. Familiarity with Model in the loop (MIL) integration and testing in simulation environments like Prescan or Unity, and/or deployment onto dSpace MicroAutoBoxes for vehicle testing is a strong plus. The successful candidate will join teams developing, integrating, and enhancing software systems to deliver foundational capabilities in the autonomous and intelligent vehicle race for the future.

Key Responsibilities

  • Design and develop software for autonomous vehicle development projects.
  • Work with Advanced Engineering project teams to develop new functional software for research and development of intelligent vehicle systems.
  • Develop code using Matlab/Simulink, unit test/debug using MIL simulation, transfer code to prototype vehicle environment, optimize and tune software parameters to meet prototype vehicle performance requirements.
  • Develop software to integrate functionality of autonomous vehicle subsystems (sensors, V2X signals, maps).
  • Pursue innovative software solutions to provide optimized solutions to complex problems with focus on computational efficiency.
  • Develop expertise and knowledge in domain of Autonomy/Systems/Robotics
    - Track regional intelligence and developments in field of expertise
    - Engage in strategic regional activities (workshops, conferences, etc)
    - Interact with other professionals/experts in the field

Collaborative Working Relationships

  • Collaborate with regional experts, associations, and agencies regarding autonomous, connected, and new ADAS technologies

Key Tasks

  • New software development for research project teams
  • Develop departmental software expertise and knowledge
  • Grow personal knowledge related to autonomous driving systems

Experience Level

  • 3+ years of software development experience with:
    - Advanced engineering and/or research and development experience
    - Exposure to simulation and system analysis

Education

  • Required: BS in Computer Science, Engineering, or related field

Additional Experiences

  • Experience with research or advanced engineering projects
  • Automotive experience a plus
  • AutoSAR knowledge and experience a plus
  • Autonomous vehicle or active safety technology development a plus

Required Skills

  • Competent with Model Based Development in Matlab/Simulink
  • Understanding of software/systems engineering for complex systems
  • Logical approach to troubleshooting and debugging
  • Good verbal and written communication skills (English)
  • Ability to work in a fast paced work environment

Preferred Skills

  • Experience with autonomous vehicles
  • Experience developing and testing logic in simulation and vehicle environments
  • Experience with dSpace MicroAutoBox systems
  • Competent with C language embedded programming
  • Competent with object oriented design using C++, Java, or Python
  • Experience developing applications using AutoSAR
  • Experience developing Ethernet communications modules

Key Result Areas & Success Indicators

  • Ability to work effectively in a global R&D project team
  • Self-motivated, organized and able to multitask across various project activities
  • Productivity and collabration within team
  • Attention to detail, timing, and safety

Travel Requirements

  • Up to 5% for business trips, domestic and abroad

Competencies

  • Ability to engage and support project teammates ranging from experienced engineers to new college graduates.
  • Systematic thinking, understanding interconnections of complicated systems
  • Understanding/Sense of International affairs
  • Flexibility/Adaptability for changes in work environment challenges

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