MRSL Real-Time Systems Laboratory, Inc.

Software Engineer Intern | Spring | Autonomous Intelligent Sensing for Space Applications

Sarasota, FL, USPosted 2 days ago

Job Description

Mission and Opportunity

MRSL is a world-class developer of advanced signal processing, intelligent sensing, and autonomous systems for the U.S. Government. We build software and algorithms that help complex systems perceive, understand, and respond intelligently to their environment. Our technologies are deployed across a broad range of intelligence and defense applications—including this project focusing on the emerging domain of autonomous space systems—where reliable, mission-critical autonomy can make the difference between success and failure.

  • You'll work hand-in-hand with our senior engineers from day one—no toy problems, no throwaway side project. You'll take ownership of meaningful technical work on a real, space-bound system and help drive it through its next critical stages.
  • The system is being prepared for an upcoming launch and currently runs in a live virtual environment—exercised on target hardware and mission emulation as if operating on orbit. The next phase continues that work through algorithm and model development, testing, performance assessment, and iterative improvement ahead of flight.

What You Will Do

You'll help mature the autonomy software in a live, mission-realistic virtual environment as we prepare it for flight:

  • Collaborate with experienced engineers on system design and production-quality software development.
  • Extend intelligent sensing, autonomy, and decision-making capabilities using modern software and AI techniques.
  • Tune, evaluate, and optimize machine learning and reinforcement learning models.
  • Perform model validation, system verification, and end-to-end mission testing on target GPU hardware.
  • Support pre-launch integration, readiness, and validation of autonomous sensing software.
  • Design, test, and validate remote system updates, monitoring, metrics, and dashboards.
  • Analyze sponsor feedback, anomalies, and system issues to identify root causes and develop resolutions.
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