Maritime Surveillance Signal Processing and Automation Engineer; ESA

Job Overview

Maritime Surveillance Signal Processing and Automation Engineer (ESA) – Applied Research Laboratories, Environmental Science Laboratory (ESL). Responsible for developing innovative signal processing and automation technology solutions for maritime surveillance sonar applications.

Weekly scheduled hours: 40
FLSA Status:
Exempt
Earliest

Start Date:

Immediately

Location:

PICKLE RESEARCH CAMPUS

• Conduct acoustic and system engineering to test and evaluate SONAR signal processing and automation algorithms developed internally and externally, including travel to test sites for specific events.
• Implement research‑grade software and analysis tools in MATLAB, Python, or similar programming languages, producing applications such as beamformers, automated trackers, target classifiers, and machine‑learning tools.
• Prepare and review analysis presentations and technical reports.
• Present analysis results at internal and external working group meetings.
• Process and analyze acoustic data for SONAR system development, creating novel algorithms to solve identified problems.
• Supervise junior personnel, including student employees.
• Support collaborative research efforts with other team members.
• Perform other related functions as assigned.

• Bachelor’s degree in engineering, physics, computer science, or a related technical field.
• Experience developing in MATLAB, Python, and/or similar programming languages.
• Experience in acoustic data analysis, signal processing, and/or machine learning.
• Experience preparing briefing materials, documentation, and managing schedules.
• Highly organized with strong planning and time‑management skills.
• Strong attention to detail, effective problem‑solving abilities, sound engineering judgment, and excellent communication skills.

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.

• Master’s degree in Mechanical, Electrical, or Software Engineering.
• Experience developing underwater acoustic processing/recording, testing such systems, and evaluating their performance.
• Experience working with other organizations in research and testing environments.
• Experience working in a team and interacting with sponsors.
• Three or more years of experience in algorithm development or SONAR.
• GPA of 3.0 or higher, with 3.2 or higher in major coursework.

$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.
• Three work references with contact information; at least one from a supervisor.
• Letter of interest.
• Unofficial college transcripts.

A criminal history background check will be required for finalists under consideration for this position.

The University of Texas at Austin is an equal‑opportunity/affirmative action employer, complying 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 expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

The University of Texas at Austin will not discriminate against employees or applicants who inquire about, discuss, or disclose their own pay or the pay of another employee or applicant. Employees with access to compensation information as part of their essential job functions may only disclose such information under specific circumstances listed in the University policy.

Upon hire, you will be required to complete the federal Employment Eligibility Verification I‑9 form and present acceptable original documents to prove identity and authorization to work in the United States within the first three days of employment. Failure to do so will result in loss of employment.

The University of Texas at Austin uses E‑Verify to check the work authorization of all new hires. The company r for E‑Verify is 854197.