Lead Physical AI Engineer

Caterpillar

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Irving, TX
Salary
$147,760–$240,110 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday
Closes
Oct 29, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $194k
$137k most similar roles pay here $251k

This role pays less than 52% of similar roles. Most pay $162,000–$228,412 — the shaded band above. At the midpoint, this role pays about $194k 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 30 open roles on FindRole.

Listed pay typically runs $147,760–$190,176 across 29 roles with salary data.

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View all roles at Caterpillar

At a glance

TL;DR · Lead Physical AI Engineer

Lead Physical AI Engineer will lead the development of high-fidelity digital twins and machine dynamics models for construction machines. This role serves as a technical authority on NVIDIA Newton, establishing modeling standards, simulation methodologies, and best practices across the enterprise. The engineer builds physics-based representations of rigid-body dynamics, powertrain systems, hydraulic actuation, and tire-ground interactions to support reinforcement learning, synthetic data generation, and autonomous system validation. Key responsibilities include developing Reduced Order Models for real-time analysis and ensuring simulation results correlate with real-world machine behavior. The role requires expertise in NVIDIA Isaac Sim, Omniverse, OpenUSD, Python, and C++. By bridging machine physics and robotics simulation, the engineer solves complex challenges in construction autonomy, creating a simulation ecosystem to accelerate the deployment of intelligent machines operating in dynamic environments while improving engineering efficiency through advanced digital twin technologies.

What you'll do

  • Serve as the primary subject matter expert for NVIDIA Newton to lead adoption of simulation technologies across the enterprise.
  • Develop high-fidelity machine models representing rigid-body dynamics, powertrain systems, hydraulic actuation, and tire-ground interactions.
  • Create a simulation ecosystem to support reinforcement learning, synthetic data generation, and autonomous system validation.
  • Establish validation processes to ensure simulation results accurately correlate with real-world machine behavior and telemetry.
  • Develop Reduced Order Models (ROMs) to transform high-fidelity simulations into computationally efficient representations for real-time analysis.
  • Define the long-term roadmap for digital twins, virtual product development, and AI-enabled engineering workflows.
  • Identify and integrate emerging technologies within the NVIDIA ecosystem to advance Physical AI initiatives.

What we're looking for

  • Bachelor's, Master's, or Ph.D. in Mechanical Engineering, Robotics, Mechatronics, Aerospace Engineering, Computer Engineering, or a related field.
  • 8+ years of experience in simulation, robotics, autonomous systems, digital twins, or machine dynamics.
  • Demonstrated expertise in NVIDIA Newton or similar tools for multibody dynamics and machine physics simulation.
  • Strong knowledge of vehicle dynamics, hydraulics, powertrain systems, kinematics, and machine-terrain interaction.
  • Proficiency in Python and C++.
  • Experience developing and validating high-fidelity simulation models for complex mechanical systems or related CAE software.
  • Experience leading technical projects and collaborating across multidisciplinary engineering teams.
  • Hands-on experience with NVIDIA Isaac Sim, Omniverse, Warp, OpenUSD, Isaac Lab, ROS2, or AI code-generation tools (preferred).

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