Simulation Platform Engineering Lead

Caterpillar

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Irving, TX
Salary: $128,470–$208,770 / yr
Posted: 25 days ago
Freshness: Confirmed live yesterday
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k

This role $169k

$115k $248k

below market most similar roles pay here above market

This role pays less than 81% of similar roles. Most pay $169,550–$220,800 — the blue band above. At the midpoint, this role pays about $169k versus about $195k 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 131 open roles on FindRole.

Listed pay typically runs $128,470–$192,710 across 125 roles with salary data.

Most-posted roles

View all roles at Caterpillar

At a glance

TL;DR · Simulation Platform Engineering Lead

Role Posting Log in to save

The Simulation Platform Engineering Lead provides hands-on technical leadership for the design, development, integration, and operation of a shared simulation platform supporting automation, robotics, and digital twin engineering. This role involves translating platform architecture into working software, reusable services, and reliable developer workflows. Key responsibilities include owning simulation execution lifecycle services, defining APIs and SDKs, and designing scalable solutions for cloud and on-premises environments. The candidate will utilize C++, Python, Go, Java, C#, Kubernetes, Docker, and Linux to build CI/CD pipelines and infrastructure automation. The work focuses on supporting GPU-enabled workloads and integrating frameworks like NVIDIA Omniverse, Isaac Sim, and Unreal Engine. This role solves complex problems in construction autonomy by providing the underlying infrastructure for physical AI, sensing, and edge computing.

Skills

Kubernetes Docker AWS Azure Python C++ Go Java C# CI/CD NVIDIA Omniverse Isaac Sim Unreal Engine Gazebo AirSim CARLA Distributed Systems Infrastructure Automation Observability

What you'll do

Lead the design and implementation of core simulation platform and backend services for digital twin and robotics workflows.
Translate platform architecture and technical roadmaps into executable designs, engineering plans, and software deliverables.
Own technical delivery for simulation execution services including job submission, scheduling, monitoring, and failure recovery.
Design scalable platform solutions using Kubernetes, Docker, and cloud-native services across AWS, Azure, and on-premises environments.
Build and improve CI/CD pipelines, automated testing, and release workflows for simulation software.
Establish observability standards for logs, metrics, traces, and operational health for all simulation services.
Support GPU-enabled high-performance workloads including resource scheduling, performance tuning, and workload isolation.
Integrate simulation frameworks like NVIDIA Omniverse and Unreal Engine with the broader platform ecosystem.

What we're looking for

Bachelor's degree in Engineering, Computer Science, Software Engineering, or a related discipline.
Master's degree (preferred).
Typically 8+ years of software engineering experience, including leadership of complex technical implementation and system integration.
Strong software engineering experience building simulation platforms, developer platforms, distributed systems, backend services, or cloud-native applications.
Hands-on expertise in C++, Python, Go, Java, C#, or other relevant programming languages.
Strong experience with Kubernetes, Docker, Linux, CI/CD pipelines, infrastructure automation, and software packaging and release practices.
Experience designing and implementing services across AWS, Azure, on-premises, or hybrid environments.
Experience with NVIDIA Omniverse, Isaac Sim, Unreal Engine, Gazebo, AirSim, CARLA, or comparable simulation technologies (preferred).
Experience supporting GPU-based workloads, HPC environments, distributed execution, or large-scale engineering compute (preferred).
Knowledge of simulation architecture, runtime services, workload orchestration, asset and configuration management, and system integration.
Knowledge of monitoring, logging, telemetry, observability, reliability, performance engineering, networking, and security practices.
Experience creating reusable APIs, SDKs, tools, libraries, and services for internal engineering teams.
Understanding of simulation verification and validation, automated regression testing, SIL, HIL, and continuous integration of simulation.
Demonstrated ability to lead technical delivery, mentor engineers, and coordinate implementation across multiple teams.
Excellent communication, troubleshooting, system integration, and technical decision-making skills.