Senior Sensor Simulation Engineer for Omniverse

NCSL International; Irving, Northern (TX, KY); Hybrid; USD 128,000 - 209,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Relocation assistance

Visa sponsorship

Job summary

Caterpillar Inc. in Irving, TX is seeking a Sensor Simulation Expert to design, validate, and refine high-fidelity virtual sensor models for autonomous construction and digital twin environments using NVIDIA Omniverse.

The role works with autonomy, perception, controls, and software teams to accelerate development, enable synthetic data pipelines, and mentor engineers in sensor modeling and simulation best practices.

Qualifications

• Bachelor's degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Physics, or a related technical discipline.
• 5+ years of experience in sensor development, simulation, robotics, autonomy, perception systems, or related fields.
• Strong programming skills in Python and C++.
• Hands-on experience with NVIDIA Omniverse, Isaac Sim, OpenUSD, or similar simulation platforms.
• Strong understanding of sensor physics and perception systems.
• Experience modeling one or more sensor types including camera, LiDAR, radar, GNSS, IMU.
• Knowledge of robotics, computer vision, autonomy, perception, or machine learning systems.
• Experience validating simulation results against physical system data.
• Understanding of synthetic data generation and simulation-based testing methodologies.
• Knowledge of 3D graphics, rendering concepts, and physically based simulation techniques.

Responsibilities

• Develop and maintain high-fidelity simulation models for cameras, LiDAR, radar, GNSS, IMU.
• Define sensor fidelity requirements and performance metrics for simulation-based testing.
• Implement realistic sensor characteristics including noise, distortion, motion blur, occlusions, range limitations, environmental interference, and calibration effects.
• Create configurable sensor models supporting multiple hardware platforms and use cases.
• Develop Omniverse Kit extensions, tools, and workflows for sensor simulation applications.
• Leverage OpenUSD and Omniverse technologies to integrate sensors into digital twin environments.
• Create reusable software frameworks for sensor configuration, management, and deployment.
• Support enterprise-scale simulation platforms and virtual engineering workflows.
• Compare and validate simulated sensor outputs against real-world sensor datasets.
• Establish validation methodologies and acceptance criteria for sensor fidelity.
• Identify gaps between simulation and physical measurements and drive model improvements.
• Develop processes for continuous verification and validation of sensor models.
• Collaborate with perception and autonomy teams to support algorithm development and testing.
• Develop simulation scenarios that challenge perception systems under complex operating conditions.
• Support sensor fusion, localization, object detection, tracking, and environmental perception workflows.
• Enable repeatable testing for autonomous system validation.
• Serve as the organization's subject matter expert for sensor simulation technologies.
• Mentor engineers on sensor modeling, simulation, and validation best practices.
• Provide technical guidance on sensor architecture, simulation platforms, and roadmap planning.
• Evaluate emerging sensor technologies and simulation methodologies.

Skills

Python

C++

Sensor physics

Robotics

Computer vision

Simulation

Education

Bachelor's degree in Robotics/EE/CS

Master's or PhD preferred

Tools

NVIDIA Omniverse

Isaac Sim

OpenUSD

ROS/ROS2

Job description

Caterpillar Inc. in Irving, TX is seeking a Sensor Simulation Expert to design, validate, and refine high-fidelity virtual sensor models for autonomous construction and digital twin environments using NVIDIA Omniverse.

The role works with autonomy, perception, controls, and software teams to accelerate development, enable synthetic data pipelines, and mentor engineers in sensor modeling and simulation best practices.