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HavocAI

Affordable, scalable autonomous surface vessels

Vehicle Autonomy Integration Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A bachelor's degree in Electrical, Computer, Mechanical, or Aerospace Engineering, Robotics, or Computer Science, or equivalent hands-on experience.
  • Experience integrating software with real hardware such as robotic platforms, vehicles, sensors, actuators, or embedded systems.
  • Programming or scripting experience in C++, Python, Bash, or similar languages.
  • Comfort working in Linux and troubleshooting with command-line tools, logs, telemetry, and network diagnostics.
  • Working knowledge of at least one hardware or network interface, such as CAN, serial, Ethernet, UDP/TCP, or MQTT.
  • Systems thinking and debugging skills across software, hardware, networking, and controls.
  • Ability to work a hybrid schedule from the North Kingstown, Rhode Island facility, with regular hands-on vehicle integration and testing.
  • Ability to travel up to 25% for field testing, customer demonstrations, integration events, and deployments.
  • U.S. citizenship and the ability to obtain and maintain a security clearance.

Responsibilities

  • Integrate HavocAI autonomy software onto new and existing robotic platforms, including autonomous vessels, drones, ground vehicles, and other unmanned systems, connecting it to vehicle control systems, autopilots, sensors, actuators, embedded compute, and platform-specific interfaces.
  • Work with autopilot and flight or vehicle control systems, including MAVLink-based interfaces, and configure, validate, and troubleshoot command and telemetry paths between HavocAI autonomy and low-level vehicle systems.
  • Integrate and debug sensors, including GPS/INS, IMUs, cameras, radar, lidar, environmental sensors, and other payloads; build and maintain interfaces over CAN, serial, Ethernet, UDP/TCP, MQTT, and other vehicle and sensor protocols.
  • Support system bring-up, bench and hardware-in-the-loop testing, dockside and ground testing, sea trials, flight tests, and field demonstrations.
  • Diagnose issues across software, networking, embedded hardware, sensors, power, controls, and platform behavior using logs, telemetry, test equipment, and field observations.
  • Build scripts, tools, configuration files, interface documentation, and repeatable integration procedures to make each new platform bring-up faster and more reliable.
  • Partner with autonomy, embedded software, hardware, field operations, and product teams to improve integration and reliability; turn lessons from field testing into product, architecture, and process improvements.

Desired Qualifications

  • Experience with ROS or ROS 2 and distributed robotics software architectures.
  • Experience with CAN bus, serial, Ethernet, MQTT, DDS, or other real-time vehicle communication systems.
  • Experience with MAVLink, ArduPilot, PX4, MAVSDK, MAVROS, QGroundControl, Mission Planner, or similar autopilot ecosystems.
  • Experience integrating autonomous vessels, drones, ground vehicles, or other robotic systems.
  • Experience with vehicle control systems, actuators, motor controllers, ESCs, steering, propulsion, or safety interfaces.
  • Experience integrating GPS/INS, radar, cameras, lidar, radios, or other autonomy sensors.
  • Experience with Docker, embedded Linux, NVIDIA Jetson, or other edge-compute platforms.
  • Experience with hardware-in-the-loop testing, system bring-up, field testing, sea trials, flight testing, or operational demonstrations.
  • Maritime, drone, robotics, defense, or dual-use technology experience.
  • Active or prior security clearance.

About the Company

HavocAI

Affordable, scalable autonomous surface vessels

HavocAI develops scalable maritime autonomy solutions, focusing on ultra-low-cost, high-rate production of Autonomous Surface Vessels (ASVs) for defense and commercial markets. Its approach enables large-scale deployment of multi-mission autonomous ships that can perform security, surveillance, logistics, and environmental monitoring tasks. The way it works is by prioritizing affordability without sacrificing capability, enabling mass production and rapid deployment of a versatile fleet. This makes HavocAI stand out from competitors by combining cost-effectiveness with high scalability, aiming to supply thousands of autonomous maritime assets. The company’s goal is to redefine how maritime autonomy is adopted and integrated worldwide through widespread, rapid deployment of affordable autonomous vessels.

Company size
201-500
Company stage
Series A
Total funding
$196M
Headquarters
East Providence, RI
Founded
2024

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