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