Systems Engineer II: High-Fidelity Modeling & Simulation

Prattwhitney

Tucson (AZ)

On-site

USD 69,000 - 131,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance
Benefits package

Job summary

RTX is seeking a Systems Engineer II - Modeling Simulation & Analysis in Tucson, AZ. You will create high-fidelity simulations for missile design and flight test support, develop modeling solutions, and work with GNC and Signal Processing teams to ensure program schedules are met.

A strong background in C/C++, Python, and MATLAB is required. You will collaborate with multiple engineering disciplines, perform trade studies, and contribute across the product lifecycle from concept to fielded

Qualifications

  • Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM field.
  • Minimum of 2 years of relevant prior experience.
  • Must be able to obtain Interim Secret U.S. government clearance; U.S. citizenship required.

Responsibilities

  • Create high-fidelity simulations and models for missile design and flight test support.
  • Develop and implement modeling solutions and conduct trade studies.
  • Collaborate in a team environment and provide guidance to other team members.
  • Coordinate with GNC, Signal Processing, and other performance personnel for simulations per program schedule.
  • Contribute to product lifecycle from concept to fielded solution and provide technical guidance.

Skills

C/C++
Python
MATLAB
Object-oriented design
Systems modeling

Education

Bachelor's degree in Engineering/Science/Physics/Math

Tools

UNIX/Linux
Git

Job description

RTX is seeking a Systems Engineer II - Modeling Simulation & Analysis in Tucson, AZ. You will create high-fidelity simulations for missile design and flight test support, develop modeling solutions, and work with GNC and Signal Processing teams to ensure program schedules are met.

A strong background in C/C++, Python, and MATLAB is required. You will collaborate with multiple engineering disciplines, perform trade studies, and contribute across the product lifecycle from concept to fielded

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