R&D Software Engineer - Real-Time Sonar Systems

University of Texas; Austin (TX); On-site; USD 88,500 - 120,000; Full time

Job summary

Applied Research Laboratories at UT Austin seeks an R&D Software Engineer (ESA) to develop real-time data analysis software for high-frequency sonar systems. You will design, implement and test software that integrates with other platforms and collaborate with engineers and scientists to meet milestones.

The role requires strong C++ programming, Linux experience, and the ability to profile and verify complex algorithms within a multidisciplinary team environment.

Qualifications

• Bachelor’s degree in CS/CE/EE or related field.
• Strong analytical and problem-solving capability.
• Demonstrated ability programming in the C++ programming language.
• Thorough understanding of Linux operating systems and administration.
• Strong communication skills and readiness to work with team leads to ensure technical execution matches design goals.

Responsibilities

• Design, implement and test real-time and data analysis software applications to support the development of high-frequency tactical sonar systems.
• Work and communicate with a cross disciplinary team of engineers and scientists to meet project deadlines and milestones.
• Integrate sonar software or hardware with other systems or platforms.
• Profile or verify signal processing or control algorithms and software applications.
• Troubleshoot and debug issues observed in ARL developed sonar systems.
• Document and present work performed.

Skills

C++ programming

Linux

Multi-threading

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field

Tools

CMake

Git

Python

Job description

Applied Research Laboratories at UT Austin seeks an R&D Software Engineer (ESA) to develop real-time data analysis software for high-frequency sonar systems. You will design, implement and test software that integrates with other platforms and collaborate with engineers and scientists to meet milestones.

The role requires strong C++ programming, Linux experience, and the ability to profile and verify complex algorithms within a multidisciplinary team environment.