Mission Operations Engineer

Saronic · Defense · Austin, TX · Mission Services

This role focuses on the deployment, validation, and improvement of autonomous surface vessels, involving hands-on testing, data logging, troubleshooting, and root cause analysis of autonomy, navigation, and sensor systems. It requires understanding vehicle HW/SW architecture and ensuring systems meet rigorous technical and operational standards, including DoD requirements.

What you'd actually do

  1. Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities.
  2. Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events.
  3. Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis.
  4. Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues.
  5. Lead planning and execution of test cases to validate software updates, autonomy behaviors, and integrated system functionality.

Skills

Required

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 1+ years of hands-on engineering experience
  • Strong problem-solving and troubleshooting skills (HW/SW)
  • Experience with robotics, AI, or machine learning applications
  • Familiarity with software development in Rust, Python, or other languages and CLI environment
  • Understanding of DoD requirements and standards for autonomous systems
  • Experience working with embedded systems and real-time computing

Nice to have

  • Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems
  • Knowledge of networking protocols and communication systems used in autonomous vessels
  • Systems engineering experience, ability to understand multi-disciplinary integrated systems
  • Experience with sensor integration such as EO/IR, radar, IMU, and data processing
  • Experience with integration and testing of multi-disciplinary integrated systems
  • Familiarity with maritime operations

What the JD emphasized

  • rigorous technical and operational standards
  • autonomous navigation
  • perception
  • sensor integration
  • autonomy
  • networking
  • onboard hardware or software
  • data logging
  • telemetry monitoring
  • root cause analysis
  • issue triage
  • software updates
  • autonomy behaviors
  • integrated system functionality
  • DoD performance, compliance, and safety standards
  • autonomous systems
  • AI, or machine learning applications
  • embedded systems
  • real-time computing

Other signals

  • autonomous systems
  • AI/ML applications
  • field tests
  • data analysis