Software Development Engineer

6 days ago


Dearborn, Michigan, United States zobility Full time
Job Description

Position Overview:

Zobility is seeking a highly skilled Software Development Engineer to join our team. As a key member of our organization, you will be responsible for developing and integrating plant and control models for emerging vehicle variants.

Key Responsibilities:

  • Develop and integrate plant and control models for battery electric, series and parallel hybrid, and fuel cell vehicles.
  • Integrate models into advanced SIL simulations and correlate operation with prototype hardware.
  • Analyze operation of the full vehicle system in simulation and work closely with a team to increase simulation efficiency.
  • Develop electrical and mechanical plant and control models of vehicle subsystem components in various levels of fidelity.
  • Tune/optimize/modify powertrain and chassis related plant models to achieve required level of plant model behavior.
  • Integrate and configure models, interfaces, and simulation tools to create complete vehicle SIL simulations while adhering to interface standards.
  • Develop tests, analysis, and debug methods for SIL simulation systems to achieve correct operation and assess fidelity.
  • Work closely with HIL and Software Automation team members to increase efficiency of simulation tools and methods.

Requirements:

  • 3+ years of experience utilizing models to develop and verify mixed hardware & embedded software systems.
  • 3+ years of experience with Matlab / Simulink / Stateflow.
  • 3+ years of programming background (C, C++, Python).

Preferred Qualifications:

  • 5+ years of experience in automotive mechatronic simulation.
  • 3+ years of experience with version control and automation (ClearCase, AccuRev, GitHub, Jenkins).
  • Experience in embedded controls in electrified vehicle systems, driver assist technologies.
  • Experience with hands-on software testing and problem solving in simulation, hardware in the loop systems, and prototype vehicles.
  • Experience with CAN networks and tools (CANalyzer, CANape, ATI Vision, etc.).
  • Good written and oral communication and interpersonal skills.
  • Strong technical analysis skills and the ability to create new solutions.
  • Initiative, resilience, a strong work ethic and a desire for continuous learning.

Education:

  • Master's degree in Electrical / Mechanical / Automotive / Computer Engineering.

Additional Information:

  • Position is Hybrid.


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