Internship Predictive Maintenance (m/f/d)

Benefits

Parental leave

8 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

8 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Entry From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Internship Predictive Maintenance (m/f/d) Country / Location Germany WELCOME TO BASF The Global Engineering Services service unit contributes to shaping a sustainable future with outstanding technical expertise. With our dedicated, interdisciplinary teams, we support BASF's divisions in growing together with our customers and markets. We implement investments competitively. Around the globe, we provide safe and reliable solutions to ensure that production plants deliver excellent performance. We are continuously improving and driving digital transformation. WHAT YOU CAN EXPECT Our Asset Monitoring Solutions & Services unit develops innovative and sustainable solutions to increase plant availability. Unplanned downtimes are specifically reduced by combining process engineering/mechanical engineering knowledge with methods from applied mathematics, data science and IT. The overarching goal is the holistic and sustainable optimization of the maintenance process over the entire life cycle of a plant. As part of a mandatory internship of three to six months, with the option of supplementing this with a voluntary placement, you will have the opportunity to integrate different types of machines into the monitoring process from January 2027 and get to know different IT systems in the process: You will put innovative technologies & methods for model- and data-based condition monitoring of process engineering machines as well as apparatus into practice. You will quickly familiarize yourself with the system architecture and contribute your ideas to the f

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