Fielded Engine Performance Intern: Data Modeling & Analysis

I10460 Centro de Ingenieria Avanzada en Turbomaquinas S de RL de CV

Santiago de Querétaro

On-site

MXN 67,000 - 134,000

Full time

2 days ago
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Job summary

GE Aerospace in Mexico is seeking a Fielded Engine Performance intern to support development and sustainment of physics-based models across GE Engine lines. You will analyze large data sets, update models, and present results to cross-functional teams such as Prognostics, Engine Control Systems, and Engineering Services.

You will work with a team of engineers with diverse expertise, gain exposure to data-driven decision making, and participate in technical reviews and global presentations.

Qualifications

  • Engineering bachelor in Computer Science, Electronics, Mechanical, Aeronautical or Mechatronics, with at least one year to graduate.
  • Proficient in object-oriented programming languages (C, C++, Python) or similar.
  • Experience with thermodynamics and fluid dynamics.
  • Strong written and oral English communication skills.
  • Availability of 40 hours per week; on-site work at GE IQ facilities.

Responsibilities

  • Data quality assessment and statistical analysis.
  • Broaden technical knowledge to execute policy/strategy.
  • Participate in root cause analysis on field events.
  • Present and substantiate results to senior leadership and direct manager.
  • Show proactivity and autonomy in learning new processes and programming techniques.

Skills

Object-oriented programming
C
C++
Python
Thermodynamics
Fluid dynamics
English communication

Education

Engineering bachelor degree

Tools

SQL

Job description

GE Aerospace in Mexico is seeking a Fielded Engine Performance intern to support development and sustainment of physics-based models across GE Engine lines. You will analyze large data sets, update models, and present results to cross-functional teams such as Prognostics, Engine Control Systems, and Engineering Services.

You will work with a team of engineers with diverse expertise, gain exposure to data-driven decision making, and participate in technical reviews and global presentations.

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