Tech Research Propulsion Controls Sr. Engineer

Stellantisfinancialservices

Auburn Hills (MI)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

Stellantisfinancialservices in Auburn Hills is looking for a Controls Engineer to innovate in propulsion technologies. Candidates should have a strong background in vehicle controls systems and be adept at problem-solving.

The ideal applicant will possess a Bachelor’s degree in Engineering, with 5+ years of relevant experience, and familiarity with tools like MATLAB/SIMULINK. A drive for excellence and teamwork is essential for this role.

This opportunity does not offer H1B sponsorship.

Qualifications

  • 5 years of experience in controls or calibration or systems engineering.
  • Experience in electrified propulsion systems or controls theory.
  • Excellent interpersonal and problem-solving skills.

Responsibilities

  • Develop high quality controls requirements, architecture, and algorithms.
  • Work collaboratively in a fast-paced environment.

Skills

Classical and Modern controls systems
Energy management and charging systems
Vehicle controls (chassis, brake regen, ride control)
AI/ML based controls modeling
Electrified Propulsion or Engine controls
Sensor signal processing and actuator control
Propulsion optimization strategies

Education

Bachelor of Science in Applied Science, Control System, Mechanical, Electrical, Aerospace, or Computer Engineering

Tools

MATLAB/SIMULINK
Data analysis tools
Plant modeling tools such as GT Power, AmeSim

Job description

Stellantis Tech Research’s Propulsion Controls department is seeking a controls engineer to develop high quality controls requirements, architecture and algorithms. We are looking for top talent to continue the development of disruptive Propulsion technologies. We are seeking an engineer with background in propulsion or vehicle controls systems development. The candidate must be a strong team player, quick learner, out‑of‑the‑box thinker, systems focused with interdisciplinary experience and drive to challenge the status quo. The candidate must be willing to work in a disruptive yet fast‑paced environment. The candidate must be clear at communicating and detail oriented.

The ideal candidate should have experience in many of the following areas, theory and practice:

  • Classical and Modern controls systems
  • Energy management and charging systems
  • Vehicle controls (chassis, brake regen, ride control)
  • AI/ML based controls modeling
  • Electrified Propulsion or Engine controls
  • Sensor signal processing and actuator control
  • Integrated Propulsion control (torque characterization, engine/motor/transmission interactions)
  • Propulsion optimization strategies
  • Auxiliary load management and optimization
  • Thermal characterization and thermal management
  • Energy efficiency and performance optimization

[H1B Sponsorship is not available for this position]

Basic Qualifications
  • Bachelor of Science in Applied Science, Control System, Mechanical, Electrical, Aerospace, or Computer Engineering, or a related Engineering field from an ABET accredited program or equivalent program
  • A minimum 5 years of experience in controls or calibration or systems engineering
  • Experience with model‑based development tools such as MATLAB/SIMULINK
  • Demonstrated technical problem solving
  • Experience in electrified propulsion systems or controls theory
  • Experience with automotive powertrain plant and controller modeling, simulation
  • Excellent interpersonal and problem-solving skill
  • Demonstrated application of technical excellence
Preferred Qualifications
  • Masters or PhD in Mechanical, Electrical, Computer, Aerospace, or related Engineering field from an ABET accredited program or equivalent program
  • Experience working with micro‑controllers
  • Application of AI to controls development
  • Understanding of classical and modern control disciplines with vehicle application
  • EV/Propulsion system calibration and/or embedded software experience
  • Experience with data analysis tools such as ASCMO, MDA
  • Experience with plant modeling tools such as GT Power, AmeSim, or other co‑simulation platforms
  • Experience with prototyping tools from dSpace or ETAS
  • Experience in Research organization
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