Signal Processing Engineer

Job Posting Title: Acoustics Signal Processing Analyst (Engineering Scientist) ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt from FLSA ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: Purpose Develop and examine signal processing algorithms and analyze data processing results to support the development, evaluation, and improvement of Navy SONAR systems. Participate in the research and development efforts within the Environmental Sciences Laboratory (ESL) of Applied Research Laboratories. Responsibilities Process and/or analyze acoustic data for use in SONAR system development. Includes the development of novel signal processing and automation algorithms to solve identified problems. Conduct acoustic and system engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally. Implement research grade software and analysis tools in MATLAB, Python, or similar programming languages. Software applications may include novel graphic visualizations, signal processing applications such as beamformers, automated trackers, automated target classifiers, applications for machine learning, and other algorithms as needed. Preparation and review of analysis presentations and technical reports. Presentation of analysis results at internal and external working group meetings. Support collaborative research efforts with other team members. Other related functions as assigned . Required Qualifications Bachelor's degree in Engineering, Physics, or related discipline. Three or more years of experience and demonstrated proficiency with one or more of the following: Signal processing Automation algorithm design and evaluation Acoustics System/software design Machine learning Data processing and analysis Experience in an applied research environment, contributing to projects from conception to implementation. Experience with developing software tools using MATLAB, Python, or similar language. Applicant must have a dynamic skill set, be 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, sound engineering judgment, ability to work independently with sensitive and confidential information, ability to maintain a professional demeanor and work as a team member without daily supervision, and effectively communicate with various groups of clients; ability 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 Master's degree or Ph. D. in Engineering, Signal Processing, Acoustics, Physics, or related discipline. Current or recent eligibility for access to classified information. Five years of experience with one or more of the following: Analysis of acoustic data Signal processing or automation algorithm design Estimating sonar system performance Experience in machine learning, predictive analytics, and big data analysis. Three or more years of experience with software design, programming, and analysis using MATLAB, Python, or similar language. Experience working in both Windows and Linux environments. Experience summarizing analysis results in technical reports and/or PowerPoint and presenting research results. Proven ability to work independently, formulate research plans, take initiative, and mentor other staff. Demonstrated excellent interpersonal communication and presentation skills. Cumulative GPA of 3.0 or greater. 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. 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 vacation and sick time Paid holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered. Salary Range $ #J-18808-Ljbffr