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STUDENT ASSISTANT-R&D - STUDENT ENGINEER - Machine Learning and Signal Processing

STUDENT ASSISTANT-R&D - STUDENT ENGINEER - Machine Learning and Signal Processing

16-01436

 

 

 

 

 

 

Who We Are:

Join the Signal & Embedded Technologies team, which focuses on developing signal processing capabilities on mobile platforms for intelligence and surveillance applications.

Objectives of this Role:

  • Apply passions and interests in software defined radio, machine learning, or signal processing to the execution of complex research and development applications.
  • Collaborate with multidisciplinary team of engineers and software developers to solve challenging signal processing problems.
  • Summer 2025 position.

Daily and Monthly Responsibilities:

  • Apply engineering principles and knowledge of programming languages to develop software solutions.
  • Observe and assist in the design, development, and testing of software capabilities for applications in specialized radio communication, radiolocation, and electronic warfare programs.
  • Work with engineering team to develop innovative solutions for automatic interception and geolocation of communication and electronic signals, to include the application of machine learning techniques.
  • Assist with research objectives and efforts focused on developing enabling technologies that can be deployed to meet customer needs.

Requirements:

  • Must be pursuing a Bachelors degree in Computer or Electrical Engineering.
  • 0-5 years: Elective coursework or internships with focus on software applications, machine learning, artificial intelligence, signal processing, or signals & systems
  • A valid/clear driver's license is required.

Special Requirements:

Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.

Job Locations: San Antonio, Texas

For more information about this division, visit the Defense & Intelligence Solutions home page