Real-Time Sonar Software Engineer (R&D)

Phase2 Technology

Austin (TX)

On-site

USD 89,000 - 120,000

Full time

14 days+
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Job summary

The University of Texas at Austin's Applied Research Laboratories is seeking an R&D Software Development Associate for real-time processing software for sonar and underwater acoustics. You will design, implement, verify, and optimize software for real-time sonar systems in ATL, including integration at test facilities.

Qualifications include a Bachelor's degree in engineering/science, strong OO, C++, Python, and Unix/Linux experience.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

C++
Python
Unix/Linux
OO programming
Problem solving

Education

Bachelor's degree (Electrical/Computer Engineering, Computer Science, Math, Physics)

Tools

CMake
Git
Matplotlib
MATLAB

Job description

The University of Texas at Austin's Applied Research Laboratories is seeking an R&D Software Development Associate for real-time processing software for sonar and underwater acoustics. You will design, implement, verify, and optimize software for real-time sonar systems in ATL, including integration at test facilities.

Qualifications include a Bachelor's degree in engineering/science, strong OO, C++, Python, and Unix/Linux experience.

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