Software Engineer Radar and Phased Array Systems (34757-KKUM) - The MathWorks GmbH : Job Details

Software Engineer Radar and Phased Array Systems (34757-KKUM)

The MathWorks GmbH

Job Location : all cities,MA, USA

Posted on : 2025-08-06T01:05:22Z

Job Description :

Job Summary

MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations.

As a Radar and Phased Array Systems Engineer, you will be crucial in creating advanced, state-of-the-art, and easy-to-use interactive software tools for use with MATLAB and Simulink. These tools will model and simulate Phased Array Systems, particularly focusing on array geometries and directivity patterns.

MathWorks nurtures growth, appreciates diversity, encourages initiative, values teamwork, shares success, and rewards excellence.

Responsibilities

Join a dynamic team of engineers dedicated to advancing radar technology. Contributions will directly impact the development of reliable Radar and Phased Array systems for automotive, defense, and telecommunications.

  • Collaborate closely with cross-functional teams of engineers specializing in Radar & Phased array signal processing.
  • Design, develop, and implement innovative software solutions enabling Phased array antenna modeling and analysis.
  • Prepare and present clear, concise design solutions to cross-functional, technical teams.
  • Write well-structured, modular, and thoroughly tested code.
    • Qualifications
  • A bachelor's degree and 3 years of professional work experience (or a master's degree, or equivalent experience) is required.
  • Proficiency with MATLAB.
  • Proficiency with software development life cycle.
    • Additional Qualifications
  • Demonstrated experience with Phased array antenna modeling.
  • Familiarity with Agile development methodologies.
  • Knowledge of Radar Signal processing, detection, and tracking.
  • Experience with scientific data visualization and analysis.
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