R&D Software Development Associate

Hiring Department:

Applied Research Laboratories

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All Applicants

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40

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Exempt from FLSA

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Immediately

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Expected to Continue

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PICKLE RESEARCH CAMPUS

Research and development of real-time processing software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL).

• Design, implement, test and verify real-time software for sonar applications.
• Build test, and install software for tactical sonar systems in a real acoustic environment at the Lake Travis Test Station and offsite contractor locations.
• Integration of software components with tactical sonar systems.
• Document and present work performed.
• Other related functions as assigned.

• Bachelor's degree in Electrical or Computer Engineering, Computer Science, Math, Physics.
• Demonstrated ability using object-oriented programming languages.
• Strong analytical and problem solving background.
• Must have a thorough understanding of object-oriented programming concepts, data structures, and algorithm performance analysis.
• Experience with C++ and Python.
• Experience with Unix/Linux operating systems and basic administration.
• Evidence of skills in the following areas: working with new technologies, being highly organized, planning and coordinating multiple tasks, effective time management, attention to detail, effective problem solving skills, using excellent judgment, working independently with sensitive and confidential information, maintaining a professional demeanor, working as a team member without daily supervision, effectively communicating with all groups of clients, working under pressure, accepting supervision and demonstrating regular/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.

• At least two years' experience with C/C++ programming and Python as well as familiarity with Linux shells such as bash.
• Experience developing scientific software applications and graphing sensor data in Matplotlib or MATLAB.
• Experience with CMake and git revision control in the Unix/Linux environment.
• Familiarity with computer network design and configurations using TCP/IP over Ethernet.
• Experience installing Linux operating systems and basic network configuration.
• GUI design experience.
• Experience with containerized applications and deployment/package managers such as Kubernetes.
• Cumulative GPA of 3.0 with at least a 3.2 in relevant coursework.

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.

$88,500 - $120,000+/negotiable depending on qualifications

May work around standard office conditions.

Repetitive use of a keyboard at a workstation.

Use of manual dexterity.

Some weekend, evening and holiday work.

Possible intrastate/interstate 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.

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

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A criminal history background check will be required for finalist(s) under consideration for this position.

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The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender…