This role pays less than
90%
of similar roles. Most pay
$147,000–$219,237
— the shaded band above.
At the midpoint, this role pays about
$128k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Caterpillar
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has
157 open roles
on FindRole.
Listed pay typically runs
$118,860–$183,140
across 148 roles with salary data.
The Simulation Quality Automation Engineer joins the engineering team to develop and execute automated quality, integration, and validation solutions for simulation platforms, scenario frameworks, rendering, digital twins, robotics, and autonomy workflows. The role involves building test software, regression suites, SIL and HIL workflows, and release-quality evidence while translating requirements into automated validation. Day-to-day tasks include developing test utilities, integrating tests into CI/CD pipelines, managing test data, and performing system integration across cloud and on-premises environments. Candidates will utilize Python, C++, C#, or Java, along with Linux, Git, and container technologies. The role addresses complex challenges in construction autonomy by ensuring the reliability of intelligent machines operating in dynamic jobsites through advanced simulation systems, real-time software, and embedded integration. Key tools may include NVIDIA Omniverse, Isaac Sim, Unreal Engine, ROS2, Gazebo, AirSim, or CARLA.
Integrate automated simulation tests into CI/CD pipelines and release workflows.
Develop test data, fixtures, mocks, stubs, and repeatable environment configurations.
Implement metrics, KPIs, dashboards, and automated evidence collection for quality reporting.
Perform system integration and exploratory testing across cloud, on-premises, GPU, SIL, and HIL environments.
What we're looking for
Bachelor's degree in Engineering, Computer Science, Software Engineering, Quality Engineering, or a related discipline.
Typically 2+ years of software engineering, quality engineering, or test automation experience; relevant academic, research, internship, or project experience may be considered.
Experience in software development or test automation using Python, C++, C#, Java, or a comparable language.
Experience with automated testing, unit testing, integration testing, regression testing, CI/CD, and defect tracking.
Knowledge of verification and validation, requirements traceability, test design, metrics, and release-quality practices.
Experience with Linux, Git, scripting, containers, logs, debugging, and test reporting tools.
Exposure to SIL, HIL, simulation systems, robotics, digital twins, real-time software, or embedded integration (preferred).
Exposure to NVIDIA Omniverse, Isaac Sim, Unreal Engine, ROS2, Gazebo, AirSim, CARLA, or comparable simulation tools (preferred).
Python
C++
NVIDIA Omniverse
Isaac Sim
Unreal Engine
ROS2
Gazebo
CARLA
AirSim
Kubernetes
CI/CD
SIL
HIL
Digital Twin
Distributed Systems
API Design
SDKs
Test Automation