The Signal and Information Sciences Lab (SISL) is seeking a motivated individual to support research and development tasks relating to software development and data analytics for RF networks.
Writing flexible and maintainable software code according to software best practices.
Designing software applications and algorithms to support RF network projects and applications.
Deploying and supporting software delivered outside of ARL:UT.
Documenting new and legacy software code for internal review and external deliveries.
Other related functions as assigned.
Bachelor's degree in Engineering, Computer Science, or other related discipline.
Experience in at least one of the following: RF networks, RF network data, network simulators, wireless networks
Experience using Python for algorithm development, data science, and/or machine learning.
Experience using C++ to develop and run software applications.
Experience using JavaScript for front-end web development.
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.
Experience using containerized applications in deployed environments.
Experience developing on Linux and Windows operating systems.
Demonstrated ability to work effectively, both independently and collaboratively, with a strong commitment to contribution and enabling the entire team.
Three years related experience.
Experience in multiple of the following: RF networks, RF network data, network simulators, wireless networks
Experience with Docker or other containerized application development platform
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.
Prior work experience in professional or research-oriented software development.
Cumulative GPA of 3.0
$88,500-$120,000+/negotiable depending on qualifications
Standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Some weekend, evening and holiday work
Possible interstate/intrastate travel
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Unofficial college transcripts
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