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The University of Texas at Austin · 3 months ago

RF/Wireless Network Engineering Scientist

PICKLE RESEARCH CAMPUS

Full-time

Onsite

Mid, Senior Level

3+ years exp

The University of Texas at Austin is seeking a motivated individual for the RF/Wireless Network Engineering Scientist position in the Applied Research Laboratories. This role involves supporting research and development tasks related to software and algorithmic development for RF networks, including designing software applications and testing new algorithms.

Corporate TrainingEducationHigher EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Designing software applications and algorithms to support RF network projects and applications

Writing flexible and maintainable software code according to software best practices

Researching and testing state-of-the-art algorithms applicable to a range of projects

Deploying and supporting software delivered outside of ARL:UT

Other related functions as assigned

Qualification

RF networksPythonMachine learningNetwork simulatorsData analyticsC++JavaScriptSoftware development lifecycleTesting toolsVersion controlDocumentationCollaborationTime managementAttention to detail

Required

Master's degree in Engineering, Computer Science, or other related discipline and at least three years of experience working in a related field

Experience in multiple of the following: RF networks, RF network data, network simulators, wireless networks

Demonstrated ability to implement and test machine learning based techniques in relevant or related problem domains

Demonstrated ability to work with subject matter experts when developing analytics

Proficiency using Python for algorithm development, data science, and/or machine learning

Familiar with the software development lifecycle process to design, develop, and maintain software

Knowledgeable using tools to perform testing, version control, and documentation of code

Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team

Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment

The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously

Regular and punctual attendance in the workplace is required

US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position

Preferred

Master's degree in Engineering, Computer Science, or other related discipline

Five years of related experience

Demonstrated ability to implement and test data science and machine learning based techniques on a variety of problem domains, including network applications

Experience using C++ to develop and run software applications

Experience using JavaScript for front-end web development

Prior work experience in research environment

Experience using containerized applications in deployed environments

Cumulative GPA of 3.0