RF​/Wireless Network Engineering Scientist Associate

** Job Posting

Title:

** RF/Wireless Network Engineering Scientist Associate**---
- **** Hiring Department:
** Applied Research Laboratories**---
- **** Position Open To:
** All Applicants**---
- **** Weekly Scheduled

Hours:

** 40**---
- **** FLSA Status:
** Exempt**---
- **** Earliest

Start Date:

** Immediately**---
- **** Position Duration:
** Expected to Continue**---
- ***
* Location:

** PICKLE RESEARCH CAMPUS**---
- **** Job Details:
** Purpose 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.## Responsibilities
* 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.##

Required Qualifications
* 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.

Applicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with various groups of clients.

Able to work under pressure and accept supervision. Regular and punctual attendance.

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 Qualifications
* 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## General Notes An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.

Please mark "yes" on the application question that asks if additional materials are required.  Failure to attach all additional materials listed below may result in a delay in application processing.

Visit our website () for additional information about Applied Research Laboratories.

UT Austin offers a competitive benefits package that includes:

· 100% employer-paid basic medical coverage   
· Retirement contributions    
· Paid…