This role pays less than
93%
of similar roles. Most pay
$162,000–$233,400
— the shaded band above.
At the midpoint, this role pays about
$128k
versus about
$198k
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 Runtime Engineer joins the team to develop and support core runtime components, tools, and integrations for simulation, digital twin, robotics, and autonomy workloads. The role involves building production-quality software for runtime services, physics integration, APIs, developer tooling, packaging, testing, and performance improvements. Day-to-day responsibilities include maintaining reusable libraries, managing lifecycle execution, troubleshooting defects, and profiling CPU, GPU, and memory performance. Candidates will utilize C++, Python, C#, or Java while working with Unreal Engine, NVIDIA Omniverse, Isaac Sim, and various physics engines. The position requires expertise in Linux, Git, build systems, and CI/CD workflows to solve complex challenges in construction autonomy. By integrating these technologies, the role addresses critical problems in physical AI, sensing, and edge computing to enable intelligent machines to operate safely within dynamic jobsite environments.
Develop automated unit, integration, regression, and performance tests for all runtime components.
Profile and optimize CPU/GPU usage, memory, startup time, and overall system stability.
Troubleshoot software defects, integration failures, and performance bottlenecks in the simulation environment.
What we're looking for
Bachelor's degree in Engineering, Computer Science, Software Engineering, Robotics, or a related discipline.
Typically 2+ years of software engineering experience; relevant academic, research, internship, or project experience may be considered.
Experience in software development using C++, Python, C#, Java, or other relevant languages with strong fundamentals in data structures and algorithms.
Experience with Linux, Git, build systems, debugging tools, automated testing, and CI/CD workflows.
Understanding of APIs, SDKs, software packaging, dependency management, configuration systems, and integration testing.
Ability to diagnose software issues through logs, debuggers, profiling tools, and systematic troubleshooting.
Knowledge of simulation, game engines, robotics, physics engines, distributed systems, or real-time software (preferred).
Exposure to Unreal Engine, NVIDIA Omniverse, Isaac Sim, Unity, Gazebo, AirSim, CARLA, or comparable tools (preferred); Docker, cloud environments, GPU-enabled applications, or performance optimization (plus).
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