Controls Engineer - Vehicle Electrification & Autonomy

Zobility; Michigan; On-site; USD 85,000 - 120,000; Full time

Job summary

Zobility in Michigan seeks a Controls Engineer to support vehicle controls and software development, electronics integration, and system commissioning. You will help develop control algorithms in a Simulink environment and contribute to prototype vehicles focused on electrification, autonomy, and unmanned platforms.

The role involves close collaboration with customers and multidisciplinary teams, with responsibilities spanning hardware integration, system modeling, and testing.

Qualifications

• Bachelor's or Master’s degree in relevant engineering or computer science field.
• Minimum of 3 years of engineering experience in controls or embedded systems.
• Strong written, verbal, and interpersonal communication skills.
• Proficient with Microsoft Office (Word, Excel, Project, PowerPoint).
• Detail-oriented with ability to work independently and in a team.

Responsibilities

• Interact with customers regarding vehicle control systems and engineering solutions.
• Support planning, scheduling, and program management for internal and customer projects.
• Provide technical feedback on product improvements and engineering processes.

Skills

Controls engineering

Embedded systems

Technical writing

Teamwork

Communication

Independence

Education

Bachelor's degree in Automotive, Mechanical, Electrical Engineering, Computer Science, or Mechatronics

Master's degree (preferred)

Tools

MATLAB

Simulink

Stateflow

Embedded development tools

MotoTron / MotoHawk

Raptor

OpenECU

dSPACE MABX

Vector CANape

Job description

Zobility in Michigan seeks a Controls Engineer to support vehicle controls and software development, electronics integration, and system commissioning. You will help develop control algorithms in a Simulink environment and contribute to prototype vehicles focused on electrification, autonomy, and unmanned platforms.

The role involves close collaboration with customers and multidisciplinary teams, with responsibilities spanning hardware integration, system modeling, and testing.