Robotics Simulation Engineer

About Us:

Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act together in complex and contested environments. Havoc connects assets, enabling them to share information, adapt in real time, and continue operating even when communications are disrupted or denied. Havoc optimizes mission performance and minimizes human risk.
Havoc was founded in 2024 and headquartered in Providence, Rhode Island. Learn more at Havoc:
All-Domain Collaborative Autonomy .

As a Robotics Simulation Engineer, you will build the simulation environments, tools, and infrastructure HavocAI uses to develop, test, and validate autonomous systems before they reach the field.

You will create realistic, configurable simulation environments spanning autonomous boats, drones, ground vehicles, and multi-agent operations. Your work will enable engineering teams to evaluate autonomy and mission software against complex scenarios, simulated sensors, environmental conditions, and edge cases at a scale that would be difficult to reproduce in the real world.

This role sits at the intersection of robotics, simulation, software engineering, autonomy testing, and developer tooling. You’ll use platforms such as Unity and Unreal Engine while integrating directly with autonomy stacks, mission software, sensor models, and testing infrastructure.

This is a hands-on engineering role for someone who enjoys building tools that make other engineers faster and ultimately improve the reliability of systems deployed in the real world.

• 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 (SIL), hardware-in-the-loop (HIL), 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…