Level

ABB

R&D Associate Engineer

AI in this role

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

R&D Team Lead

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In this role, you will join the Product Care team within ABB Smart Buildings, contributing to the continuous improvement and evolution of our People Protection product portfolio. You will work across the product development cycle, from concept generation and 3D design to engineering analysis, prototyping, testing, and industrialization support. You will collaborate with experienced engineers and manufacturing teams, applying modern engineering tools, digital technologies, and Artificial Intelligence solutions to solve technical challenges and improve product development processes.


The work model for the role is: Hybrid #Li-Hybrid

This is a temporary contract position.


This role is contributing to the People Protection product portfolio within ABB Smart Buildings in Vittuone (Milan), Italy. Main stakeholders are R&D, Product Care, Quality, Operations, Purchasing, Manufacturing Engineering, laboratories, and suppliers.


You will be mainly accountable for:

  • Supporting Product Care activities for existing products, ensuring technical robustness, quality, competitiveness, and continuous improvement.
  • Developing and modifying 3D CAD models and technical documentation, as well as performing engineering studies and simulations to evaluate product performance, reliability, and manufacturability.
  • Designing, building, and validating prototypes in collaboration with laboratories, suppliers, and manufacturing teams, while supporting root cause analysis and cost reduction initiatives.
  • Exploring and applying new technologies, materials, digital engineering methods, and AI-based approaches to improve design efficiency, problem solving, and product development processes.

Qualifications for the role

  • Master's Degree in Mechanical Engineering or an equivalent Engineering qualification.
  • Good knowledge of 3D CAD design, with experience in CATIA V5 and/or Creo highly appreciated.
  • Basic knowledge of engineering simulations, such as structural, thermal, or multiphysics analysis, with experience in prototype development, testing, or product validation considered an advantage.
  • Interest in Digital Engineering, Artificial Intelligence, and data-driven product development; knowledge of MATLAB is a plus.
  • Knowledge of SAP and PLM/PDM systems, together with good command of Microsoft Office tools.
  • You are passionate about hands-on engineering, problem solving, and continuous improvement, with a curious, proactive mindset and willingness to learn in a dynamic international environment.
  • You are at ease communicating in Italian and English, both written and spoken.

Compensation Package 

As part of our commitment to transparency, we want to share the compensation details for this position:

Applicable CBA: Metalmeccanico  

Minimum annual salary: € 36.000 

Variable Pay: Eligible for Company Productivity Bonus


The offer will be tailored based on your role location, experience, skills and qualifications, internal market positioning and alignment with ABB internal standards. 


Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

How we score this

R&D Associate Engineer at ABB scores 36 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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