1

Motorsport Internship Jobs (NOW HIRING)

... Motorsport angeboten. Die Produkte unterstützen Tier-1-Zulieferer und OEMs dabei, aktuelle und ... Monate Praktikum mit anschließender Masterarbeit über 6 Monate. Aufgaben: * Analyse und ...

New

Motorsport Internship information

See salary details

$9

$17

$23

How much do motorsport internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for motorsport internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a motorsport internship?

A Motorsport Internship is a temporary position that allows students or recent graduates to gain hands-on experience within the motorsport industry. Interns may work with racing teams, engineering departments, marketing divisions, or event management organizations. These roles provide valuable exposure to the fast-paced world of motorsport, helping interns develop industry-specific skills and professional networks. Internships can often lead to full-time opportunities in motorsport or related fields after graduation.

What types of projects or tasks can I expect to work on during a motorsport internship?

During a motorsport internship, you can expect to be involved in a range of hands-on and technical projects, such as assisting with vehicle preparation, analyzing race data, helping with logistics, and supporting the engineering or pit crew teams. Interns often participate in testing sessions, work on component inspections, and contribute to event planning or race day operations. This diverse exposure offers valuable insight into the fast-paced motorsport environment and provides opportunities to collaborate with experienced professionals across engineering, mechanics, and team management.

What are the key skills and qualifications needed to thrive as a motorsport intern, and why are they important?

To thrive as a Motorsport Intern, you typically need a background in engineering, motorsport management, or a related field, along with a passion for racing and a willingness to learn. Familiarity with data analysis software, CAD programs, and motorsport-specific tools such as telemetry systems is often required. Strong teamwork, communication, and adaptability help interns excel in fast-paced, high-pressure environments. These skills and qualities are crucial for supporting race teams effectively and gaining valuable industry experience.

What is the difference between Motorsport Internship vs Motorsport Technician?

AspectMotorsport InternshipMotorsport Technician
Required CredentialsTypically pursuing or recent graduate in engineering, mechanics, or related fieldsVocational training, certifications in automotive or mechanical systems often preferred
Work EnvironmentAssist with team operations, data analysis, and support roles during races or testingHands-on mechanical work, maintenance, and repair of race cars in workshops or on track
Employer & Industry UsageUsed by racing teams, automotive companies, and internships programs for trainingEmployed directly by racing teams, automotive manufacturers, or repair shops

While a Motorsport Internship offers exposure to various aspects of racing and industry insights, a Motorsport Technician involves direct mechanical work and technical skills. Internships are ideal for gaining experience and networking, whereas technicians focus on hands-on maintenance and repairs essential for race performance.

More about Motorsport Internship jobs

What cities are hiring for Motorsport Internship jobs?

Cities with the most Motorsport Internship job openings:

What are the most commonly searched types of Motorsport jobs?

The most popular types of Motorsport jobs are:

What states have the most Motorsport Internship jobs?

States with the most job openings for Motorsport Internship jobs include:

Infographic showing various Motorsport Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Masterand Data Science & ML für Materialentwicklung

Tenneco

On-site

Other

Posted yesterday

New


Tenneco rating

7.1

Company rating: 7.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

342nd of 490 rated machine equipment manufacturers


Job description

Tennecoist eines der weltweit führenden Unternehmen in der Entwicklung, Herstellung und Vermarktung von Produkten für die Automobil- und Schienenfahrzeugbranche.
Im Geschäftsbereich Tenneco Braking wird eines der breitesten Portfolios an Reibmaterialien für Pkw, Nutzfahrzeuge, Schienengüter- und -personenverkehr, Industrie- sowie Motorsport angeboten. Die Produkte unterstützen Tier-1-Zulieferer und OEMs dabei, aktuelle und zukünftige Umweltanforderungen zu erfüllen.

Für den Standort Glinde (Schleswig-Holstein) wird ein/eMasterand (m/w/d) im Bereich Data, AI & Analytic gesucht. Der Beschäftiungsumfang umfasst 2 Monate Praktikum mit anschließender Masterarbeit über 6 Monate.

Aufgaben:

  • Analyse und Strukturierung von Versuchs- und Materialdaten (Rezepturen, Prozessparameter, Performancekennwerte)
  • Aufbau und Validierung von Regressionsmodellen (z. B. neuronale Netze, Random Forest, Gradient Boosting) zur Vorhersage von Reibwertverhalten.
  • Feature Engineering auf Basis von Materialzusammensetzung und Prozessparametern
  • Untersuchung von Generalisierungsfähigkeit und Extrapolation auf neue Rezepturen
  • Vergleich unterschiedlicher Modellansätze hinsichtlich Vorhersagegenauigkeit, Robustheit und Interpretierbarkeit
  • Identifikation relevanter Einflussgrößen mittels Feature Importance / Sensitivitätsanalysen
  • Dokumentation und Präsentation der Ergebnisse
  • Enge Abstimmung mit R&D-Ingenieuren zur Sicherstellung physikalischer Plausibilität
  • Masterstudium in Data Science, Mathematik, Ingenieurswissenschaft oder vergleichbar
  • Gute Kenntnisse in: Python ML Frameworks (z. B. scikit-learn, PyTorch oder TensorFlow), Datenanalyse (pandas, polars, NumPy)
  • Verständnis statistischer Modellierung und Regressionsverfahren
  • Grundkenntnisse in neuronalen Netzen und Overfitting-/Regularisierungskonzepten
  • Idealerweise Erfahrung mit: Zeitreihenanalyse, Materialdaten oder physikalischen Modellen, Feature Engineering in technischen Datensätzen
  • Strukturierte und selbstständige Arbeitsweise
  • Interesse an interdisziplinärer Arbeit zwischen Data Science und Materialentwicklung
  • Sehr gute Deutsch- oder Englischkenntnisse
#J-18808-Ljbffr

What Tenneco employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom