Tech Research Propulsion Controls Sr. Engineer

India; Auburn (AL); On-site; USD 75,000 - 100,000; Full time

Job summary

Stellantis Tech Research in Auburn, Alabama is seeking a controls engineer to develop high quality controls for Propulsion technologies. The role demands proficiency in vehicle controls systems, with expectations for candidates to demonstrate exceptional teamwork and problem-solving abilities.

The ideal applicant will have a bachelor's degree in a relevant engineering field, at least 5 years of experience, and knowledge in areas such as AI/ML controls. This position offers the chance to engage in a fast-paced, innovative environment focused on advancing propulsion technologies.

Qualifications

• Minimum 5 years of experience in controls or calibration or systems engineering.
• Experience with model-based development tools.
• Demonstrated technical problem-solving skills.

Responsibilities

• Develop high quality controls requirements, architecture and algorithms.
• Work on propulsion or vehicle controls systems development.
• Communicate clearly and work effectively in a fast-paced environment.

Skills

Classical and Modern controls systems

Energy management and charging systems

Vehicle controls

AI/ML based controls modeling

Electrified Propulsion or Engine controls

Sensor signal processing and actuator control

Integrated Propulsion control

Energy efficiency and performance optimization

Education

Bachelor of Science in a relevant Engineering field

Tools

MATLAB/SIMULINK

ASCMSO

GT Power

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