Space Systems Simulation & Test Engineer

STR

Woburn (MA)

On-site

USD 110,000 - 139,000

Full time

8 days ago

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Job summary

STR is seeking a highly skilled engineer to design, implement, and operate integrated simulation testbeds for advanced space and defense systems.

You will analyze system performance, develop test plans, and define evaluation criteria while collaborating with research and software teams to integrate simulation tools. A strong background in modeling, signal processing, and software development is essential, with leadership potential in complex projects.

Qualifications

  • BS with 2+ years' experience, MS, or equivalent in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline.
  • Ability to obtain a security clearance (US citizenship required).
  • Experience with space defense programs and modeling, sensor systems, platforms, and ground systems.
  • Proficiency in MATLAB, Python, or C/C++ for simulation and analysis.
  • Excellent communication and briefing skills.

Responsibilities

  • Design and apply cutting-edge models and simulation frameworks to support test and evaluation of algorithms, command & control systems, and deployed software solutions.
  • Collaborate with diverse teams and technical leadership to understand system level requirements and broad objectives; summarize progress, report on findings and provide assessments.
  • Support business development initiatives and proposal writing efforts, playing a key role in shaping the proposed technology solutions.

Skills

MATLAB
Python
C/C++
Communication

Education

Bachelor's or MS in Electrical Engineering, Applied Mathematics, Physics, or related field

Tools

AFSIM

Job description

STR is seeking a highly skilled engineer to design, implement, and operate integrated simulation testbeds for advanced space and defense systems.

You will analyze system performance, develop test plans, and define evaluation criteria while collaborating with research and software teams to integrate simulation tools. A strong background in modeling, signal processing, and software development is essential, with leadership potential in complex projects.

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