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Havoc AI

Field Software Engineer

Remote (Remote)$150k–$175kfulltimemidAdded today

About this role

Deploy and operate autonomous systems at customer sites, combining software engineering with field troubleshooting. You'll develop fixes in real time, integrate systems with customer platforms, and ensure mission-critical autonomy software performs reliably across sea, air, and land domains.

What you'll do

  • Deploy, configure, and operate autonomous systems during customer demonstrations and operational events
  • Travel to customer sites to support field testing, system integrations, and mission deployments
  • Develop and modify software in the field to solve mission-critical problems rapidly
  • Integrate HavocAI systems with customer platforms, sensors, communications, and third-party technologies
  • Diagnose and resolve software, networking, hardware, and system integration issues under operational conditions
  • Build deployment automation, internal tools, and documentation to improve operational efficiency

What they're looking for

  • Linux administration and command-line troubleshooting
  • Software engineering in C++, Python, Go, or TypeScript
  • Networking fundamentals and API integration
  • Containerized applications and distributed systems
  • Systems integration and field engineering
  • ROS2, DDS, Docker, or Kubernetes (preferred)
  • Autonomous systems and robotics
  • Technical communication with engineers and non-technical stakeholders
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Havoc AI

Havoc AI builds autonomous systems software and hardware for mission-critical operations across military and commercial applications in sea, air, and land domains. The company is hiring frontend engineers, embedded software engineers, mission software engineers, mechanical engineers, and business analytics engineers to develop real-time control systems, operational interfaces, and autonomous capabilities for uncrewed vehicles.

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Likely interview questions

  • Describe a time you deployed software or systems in a challenging field environment—what went wrong and how did you troubleshoot it?
  • How would you approach diagnosing a networking or integration issue when you can't easily reproduce it in the lab?
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