Senior R&D Software Engineer: Hardware-Software Integration

The University of Texas at Austin; Austin (TX); Hybrid; USD 104,000 - 174,000; Full time

Job summary

The University of Texas at Austin is seeking a Lead R&D Software Engineer to drive the integration of sonar software with tactical hardware at the Pickle Research Campus. You will lead efforts to coordinate software/hardware integration, mentor junior engineers and ensure timely delivery of high‑frequency sonar systems for Navy projects.

You will work with researchers across disciplines, develop automated tooling for reproducibility, and troubleshoot complex ARL sonar systems while communicating

Qualifications

• Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or related discipline.
• At least three years of professional experience developing or testing software in a Linux environment.
• Ability to translate high level requirements into achievable technical tasks.
• Strong analytical and problem‑solving capability.
• Excellent communication and teamwork to align with investigators.

Responsibilities

• Lead integration and configuration of software and hardware for high‑frequency sonar systems.
• Provide mentorship and supervision to junior engineers.
• Collaborate with a cross‑disciplinary team to meet milestones.
• Develop, configure and maintain automated tools for reproducible results.
• Troubleshoot, document and present work performed.

Skills

Linux experience

OO programming

Problem solving

Communication skills

Team collaboration

Education

Master’s degree in CS/CE/EE or related

Tools

CMake

Git

Debugging tools

Profiling tools

TCP/IP

Python/Bash scripting

Job description

The University of Texas at Austin is seeking a Lead R&D Software Engineer to drive the integration of sonar software with tactical hardware at the Pickle Research Campus. You will lead efforts to coordinate software/hardware integration, mentor junior engineers and ensure timely delivery of high‑frequency sonar systems for Navy projects.

You will work with researchers across disciplines, develop automated tooling for reproducibility, and troubleshoot complex ARL sonar systems while communicating