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HavocAI

Affordable, scalable autonomous surface vessels

Vehicle Autonomy Lead

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Engineering, or a related technical field.
  • At least 8 years of experience in robotics, autonomy, autonomous vehicles, unmanned systems, maritime autonomy, aerospace, defense technology, or related technical fields.
  • A strong technical background in vehicle autonomy, motion planning, controls, robotics software, and autonomous system integration.
  • Experience leading engineers from a technical perspective as a team lead, technical lead, staff engineer, principal engineer, or engineering manager.
  • Experience building and deploying autonomy software on real robotic or autonomous systems.
  • A strong understanding of autonomy software stacks, including planning, control, behaviors, state estimation, sensor integration, simulation, testing, and deployment.
  • Experience working in Linux-based development environments with modern software engineering practices.
  • Strong programming skills in C++ and/or Python.
  • Ability to make sound technical tradeoffs across reliability, safety, performance, maintainability, and schedule.
  • Strong debugging skills across software, hardware, sensors, logs, telemetry, and field operations.
  • U.S. citizenship and ability to obtain and maintain a security clearance.

Responsibilities

  • Lead the technical execution of the on-vehicle autonomy team.
  • Own onboard autonomy capabilities for autonomous surface vessels, including navigation, planning, control, behaviors, safety logic, and autonomy execution.
  • Define technical priorities, architecture, interfaces, and development standards for vehicle autonomy systems.
  • Guide autonomy design decisions across reliability, latency, safety, compute constraints, mission performance, and field maintainability.
  • Ensure the vehicle autonomy stack is robust, observable, testable, and ready for real-world maritime operations.
  • Lead, mentor, and support a team of autonomy, robotics, planning, and controls engineers.
  • Provide technical guidance through design reviews, architecture reviews, code reviews, test planning, and field-readiness reviews.
  • Help engineers break down complex autonomy problems into executable technical work.
  • Establish engineering practices for autonomy development, integration, simulation, testing, and deployment.
  • Drive autonomy capabilities from concept through implementation, simulation, hardware-in-the-loop testing, field testing, and deployment.
  • Support vessel integration, field tests, customer demonstrations, and operational evaluations.
  • Diagnose and resolve autonomy issues using logs, telemetry, vehicle data, simulation results, and field observations.
  • Build feedback loops between field failures, autonomy improvements, and product roadmap decisions.
  • Ensure the team delivers autonomy software that can be operated, debugged, and maintained in real mission environments.
  • Work closely with perception, mission software, embedded systems, hardware, product, program, and field operations teams.
  • Translate mission needs and product requirements into vehicle autonomy capabilities.
  • Coordinate interfaces between onboard autonomy, mission planning, command and control, sensors, and platform systems.
  • Communicate technical risks, tradeoffs, and progress to engineering and company leadership.
  • Help align vehicle autonomy development with customer needs, deployment timelines, and long-term product strategy.

Desired Qualifications

  • Experience with autonomous surface vessels, maritime autonomy, naval systems, unmanned boats, or maritime domain awareness.
  • Experience with collision avoidance, COLREGs-aware planning, path planning, trajectory generation, behavior planning, guidance, navigation, or control systems.
  • Experience with multi-agent autonomy, collaborative autonomy, distributed robotic systems, or coordinated vehicle behaviors.
  • Experience with ROS2, DDS, MOOS-IvP, autonomy middleware, or distributed robotics architectures.
  • Experience integrating perception, radar, EO/IR cameras, AIS, GPS/INS, or other maritime sensor modalities into autonomy systems.
  • Experience with simulation, hardware-in-the-loop testing, autonomy verification and validation, and field test programs.
  • Experience supporting government, DoD, defense, or dual-use technology programs.
  • Experience operating in startup or fast-moving product engineering environments.
  • 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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