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HavocAI

Affordable, scalable autonomous surface vessels

Robotics Simulation Engineer

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

About the Job

Requirements

  • A bachelor's degree in Computer Science, Robotics, Engineering, Simulation, Game Development, Applied Mathematics, Physics, or a related technical field.
  • At least 3 years of experience building simulation software, robotics simulation, game-engine environments, developer tooling, or automated test infrastructure.
  • Hands-on experience with Unity, Unreal Engine, or similar 3D simulation platforms.
  • Strong programming skills in C++, C#, Python, or similar languages.
  • Experience building configurable environments, scenario systems, agent behaviors, or automated testing tools.
  • Understanding of closed-loop simulation, software-in-the-loop, hardware-in-the-loop, replay testing, or automated system evaluation.
  • Experience integrating complex software systems across simulation, data, and robotics workflows.
  • Strong debugging and problem-solving skills.
  • Ability to operate independently and take ownership in a fast-moving, ambiguous engineering environment.
  • U.S. citizenship and ability to obtain and maintain a U.S. Government security clearance.

Responsibilities

  • Build and maintain simulation environments and tools using Unity, Unreal Engine, or similar platforms.
  • Develop configurable scenarios, agents, sensors, environmental conditions, mission events, and test environments.
  • Support simulation across autonomous surface vessels, drones, ground vehicles, and multi-agent systems.
  • Develop realistic agent behaviors, traffic patterns, environmental conditions, and edge-case scenarios.
  • Use real-world field data, logs, and test results to continuously improve simulation fidelity and relevance.
  • Develop closed-loop simulation workflows that allow autonomy and mission software to operate against simulated vehicles, sensors, agents, and environments.
  • Support software-in-the-loop, hardware-in-the-loop, replay, regression testing, and automated scenario evaluation.
  • Integrate simulation environments with autonomy stacks, mission software, command-and-control systems, sensor models, and data pipelines.
  • Build automated testing capabilities that help identify regressions and validate system behavior before field deployment.
  • Partner with engineering teams to reproduce field failures and complex operational scenarios in simulation.
  • Build tools for scenario generation, simulation orchestration, automated testing, visualization, debugging, and results analysis.
  • Improve the repeatability and scalability of simulation-based testing across engineering teams.
  • Support automated and large-scale execution of simulation scenarios where appropriate.
  • Develop clear interfaces and workflows that make simulation capabilities easy for engineers to adopt and use.
  • Maintain documentation, examples, and best practices for internal simulation tools.
  • Partner closely with Autonomy, Software, Perception, Product, Field Operations, and Program teams.
  • Translate engineering, testing, and operational requirements into useful simulation capabilities.
  • Incorporate feedback from field testing and deployed systems into simulation environments and test scenarios.
  • Help identify where simulation can reduce field-test cycles, accelerate development, and improve system reliability.

Desired Qualifications

  • Experience simulating autonomous vehicles, sensors, robotics systems, or multi-agent environments.
  • Experience with Unreal Engine, Unity, Cesium, CARLA, Gazebo, NVIDIA Isaac Sim, AirSim, or similar platforms.
  • Experience with automated scenario generation, simulation orchestration, or large-scale simulation execution.
  • Experience with synthetic data generation, perception simulation, sensor modeling, environmental modeling, or physics-based simulation.
  • Experience integrating simulation with autonomy stacks, mission software, or command-and-control systems.
  • Experience with cloud or distributed simulation and CI/CD-based regression testing.
  • Familiarity with robotics middleware, telemetry systems, replay tooling, distributed systems, or real-time software.
  • Experience supporting defense, aerospace, robotics, autonomy, simulation, or dual-use technology programs.
  • 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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