Autonomy Simulation Engineer

Drive Capital; Providence (RI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

401(k) Matching

Unlimited PTO

Equity Package

Work / Home Office Stipend

Job summary

HavocAI in Providence, RI, is seeking a Robotics Simulation Engineer to build and maintain large-scale simulation environments for autonomous systems. You will work with Unity, Unreal Engine, and companion tooling to design configurable scenarios, test sensors, and evaluate mission software in simulated worlds.

The role blends robotics, simulation, software engineering, and validation, requiring hands-on coding in C++/Python and collaboration with cross-functional teams to improve field

Qualifications

• Bachelor’s degree in CS/Robotics/Engineering or related field.
• 3+ years of experience in simulation software, robotics simulation, or game-engine environments.
• Hands-on experience with Unity or Unreal Engine.
• Strong programming skills in C++ or Python.

Responsibilities

• Build and maintain simulation environments and tools using Unity/Unreal Engine or similar platforms.
• Develop configurable scenarios, agents, sensors, and environmental conditions for autonomous systems.
• Support simulation across autonomous surface vessels, drones, ground vehicles, and multi-agent systems.
• Develop realistic agent behaviors, traffic patterns, and edge-case scenarios.
• Use real-world field data, logs, and test results to improve simulation fidelity.

Skills

Unity

Unreal Engine

C++

Python

Robotics

Education

Bachelor’s degree in Computer Science, Robotics, Engineering, or related field

Job description

HavocAI in Providence, RI, is seeking a Robotics Simulation Engineer to build and maintain large-scale simulation environments for autonomous systems. You will work with Unity, Unreal Engine, and companion tooling to design configurable scenarios, test sensors, and evaluate mission software in simulated worlds.

The role blends robotics, simulation, software engineering, and validation, requiring hands-on coding in C++/Python and collaboration with cross-functional teams to improve field