Embedded Controls Engineer Position Available In Wake, North Carolina

Embedded Controls Engineer

Note:

This position is on W2 basis only.

Job Description:

We are looking to add a Control System Engineer to a long-term project team onsite with a well-known customer in the agricultural and heavy equipment domain.
As a PE Control System Engineer, you will:
Develop advanced electric drive controls solutions at both component and system levels for a broad range of applications.
Validate and deliver controls software through code development, HIL validation, dyno testing, and field integration support.
Conduct advanced eDrive and vehicle system simulation to support features development and vehicle performance assessment.
Interface with stakeholders to develop control system requirements that support vehicle electrification solutions.
Mentor other control and software developers in design, modeling, coding, and testing practices.

Qualifications:

Minimum of a Master s degree in Electrical Engineering or Mechanical Engineering with a focus on power electronics and/or drivetrain control systems. A PhD degree is preferred.
5 or more years of experience in advanced power electronics and/or control algorithm development.
5 or more years of simulation experience for power electronics, drivetrain, and control systems.
3 or more years of hands-on power electronics and/or drivetrain testing experience.
Experience with high voltage drives
Knowledge of integrating electrical systems into mechanical systems.
Experience with Matlab/Simulink for modeling algorithm design.
Effective written and verbal communication skills
Relevant research experience in academic institutes will be equally considered.

Preferred Qualifications:

Advanced degree with a focus on power electronics and/or control system development.
Experience with advanced electric motor control, DC/DC converters, grid-tied inverters, energy storage integration, and vehicle power management.
Experience with Hardware-in-Loop systems.
Experience with advanced control systems and techniques such as observer, model predictive control, etc.
Experience with advanced digital signal processing schemes such as filter design.
Experience with hybrid and/or full electric vehicle applications.
Experience with advanced research topics.
Experience with power electronics hardware design.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

10120317

Position Id:

8630609