Ongoing threats to national security require timely intelligence data, including signal intelligence obtained through electronic surveillance. Since the 1940s, SwRI has supported U.S. and friendly foreign governments, as well as commercial clients.
Objectives of this Role:
Internship positions provide engineering candidates an opportunity to be exposed to RF system development concepts, wireless communications techniques, digital signal processing algorithms and use cases in real world applications.
Interns are exposed to complex system development programs and develop skills applicable to system design, integration and test activities.
Year-round local, co-op, or summer 2025 Student position.
Daily and Monthly Responsibilities:
Assisting in several tasks related to large scale testing and analysis of machine learning algorithms in complex environments.
Support Technical staff and collaborate on signal processing and communication system projects. Interpret antenna model data.
Support staff in signal processing and/or machine learning algorithm project-work.
Requirements:
Must be pursuing a Masters or PhD in Electrical Engineering.
0 years: Elective coursework focus or experience through internships in two or more of the following: electromagnetic, machine learning, artificial intelligence, signal processing, communications theory, C/C++, python and/or computer engineering highly desired.
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.
For benefits information at our San Antonio location, click here. For benefits information at all other locations, click here.
An Equal Employment Opportunity/Affirmative Action Employer Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran Committed to Diversity in the Workplace
