Modeling & Simulation Systems Engineer — Secret Clearance

Northrop Grumman

Rolling Meadows (IL)

On-site

USD 88,000 - 131,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance may be available
Health insurance
Life insurance
Disability insurance
Savings plan
Paid holidays
PTO

Job summary

Northrop Grumman Rolling Meadows is seeking capable, talented engineers to design and test custom algorithm solutions and develop models for EOIR/RFEW systems. Successful candidates will apply a systems engineering approach to understand physics phenomenology and create in-house algorithms and performance models.

You will collaborate with a highly skilled team of engineers and physicists, using MATLAB/Python/C++ and related tools to implement algorithms into complete systems. U.S.

Qualifications

  • BS degree in Mechanical, Electrical Engineering, Physics, or a STEM field with 2+ years of related experience, or MS degree or PhD in STEM field with 0 years of related experience
  • Experience in designing, documenting, testing, and validating algorithms, software or models for production systems.
  • Experience in creating and delivering technical presentations
  • Proficiency in MATLAB, Python, and/or C/C++
  • Candidate must be a US Citizen
  • Ability to obtain and maintain a minimum of a Secret Clearance with additional customer specified clearance

Responsibilities

  • Design and test custom algorithm solutions
  • Develop and validate complex models and simulations
  • Collaborate with engineers, physicists, and experts to implement algorithms into a system or product
  • Strong technical writing and communication skills

Skills

MATLAB
Python
C/C++
US Citizenship
Technical presentations

Education

BS in STEM (Mechanical, Electrical, Physics, or related)
MS/PhD in STEM

Tools

CUDA
Git

Job description

Northrop Grumman Rolling Meadows is seeking capable, talented engineers to design and test custom algorithm solutions and develop models for EOIR/RFEW systems. Successful candidates will apply a systems engineering approach to understand physics phenomenology and create in-house algorithms and performance models.

You will collaborate with a highly skilled team of engineers and physicists, using MATLAB/Python/C++ and related tools to implement algorithms into complete systems. U.S.

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