Autonomy Software Engineer Intern - Real-World Impact

Allen Control Systems

Austin (TX)

On-site

USD 28,000 - 41,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Equity package
Health insurance
Paid time off

Job summary

Allen Control Systems in Austin, TX is offering a Software Engineer Intern role for Summer 2026. You will work on real-time, embedded software alongside experienced engineers building Bullfrog and related systems.

This is a hands-on, on-site internship designed for early-career developers who want to ship impactful code. You will contribute to software that connects sensors, computer vision models, and control systems, while gaining exposure to tools used by engineers and operators in embedded

Qualifications

  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
  • Coursework or project experience in one or more of C++, Python, Kotlin, or Java.
  • Curiosity about real-time, embedded, or systems-level software.
  • A builder’s mindset: you’d rather ship something and iterate than wait for a perfect spec.

Responsibilities

  • Software that connects sensors, computer vision models, and control systems into a working autonomous weapon system.
  • Real-time systems where latency and reliability actually matter — you don’t want it to fail when seconds count.
  • Tools and interfaces engineers and operators use every day, from embedded Linux applications to internal tooling.
  • Full-stack or backend projects supporting engineering, manufacturing, or field operations.

Skills

C++
Python
Kotlin
Java

Education

Pursuing degree in Computer Science or Software Engineering

Tools

Embedded Linux

Job description

Allen Control Systems in Austin, TX is offering a Software Engineer Intern role for Summer 2026. You will work on real-time, embedded software alongside experienced engineers building Bullfrog and related systems.

This is a hands-on, on-site internship designed for early-career developers who want to ship impactful code. You will contribute to software that connects sensors, computer vision models, and control systems, while gaining exposure to tools used by engineers and operators in embedded

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