Product Performance Engineer – EV Charging Systems

ABB E-mobility; San Giovanni Valdarno; In loco; EUR 28.000 - 34.000; Tempo pieno

Descrizione del lavoro

ABB E-Mobility is seeking a Product Performance Engineer for its San Giovanni Valdarno plant to analyze product behavior across hardware and software, improve design robustness, and verify conformity to standards. The role emphasizes solving complex issues with a focus on reliability and field feedback.

The candidate should have a Master’s degree in a relevant engineering field, a strong analytical mindset, and 2+ years in engineering/R&D or related roles, with good English and willingness to

Competenze

• Master’s degree in Electrical, Electronics, Automation, Mechatronics or Computer Engineering.
• Strong analytical mindset to grasp power electronics, digital hardware, control and software interactions.

Mansioni

• Analyze performance and behavior of the installed base of charging solutions across hardware and software.
• Lead structured problem solving (8D / 5-Why) focusing on failure mechanisms and design robustness.
• Verify design solutions against standards requirements and translate constraints into engineering inputs.
• Drive reliability and performance improvements via analysis, tests, and validation strategies.
• Support global development projects with design reviews, FMEA, risk identification, and lessons learned.
• Coach project teams in complex customer issue resolution from development to field operation.

Conoscenze

Power electronics

Digital hardware

Control systems

Software interactions

English communication

Analytical mindset

Formazione

Master’s degree in Electrical, Electronics, Automation, Mechatronics, or Computer Engineering

Descrizione del lavoro

ABB E-Mobility is seeking a Product Performance Engineer for its San Giovanni Valdarno plant to analyze product behavior across hardware and software, improve design robustness, and verify conformity to standards. The role emphasizes solving complex issues with a focus on reliability and field feedback.

The candidate should have a Master’s degree in a relevant engineering field, a strong analytical mindset, and 2+ years in engineering/R&D or related roles, with good English and willingness to