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Caterpillar

Makes heavy machinery, engines and gas turbines

Lead Physical AI Engineer

Mechanical EngineeringConfirmed live in the last 24 hours
Full-timeIrving, TX, USA

About the Job

Requirements

  • A Bachelor's, Master's, or Ph.D. in Mechanical Engineering, Robotics, Mechatronics, Aerospace Engineering, Computer Engineering, or a related field is required.
  • At least 8 years of experience in simulation, robotics, autonomous systems, digital twins, or machine dynamics is required.
  • Demonstrated expertise in NVIDIA Newton or similar tools, including multibody dynamics, articulated systems, and machine physics simulation is required.
  • Strong knowledge of vehicle dynamics, hydraulics, powertrain systems, kinematics, and machine-terrain interaction is required.
  • Proficiency in Python and C++ is required.
  • Experience developing and validating high-fidelity simulation models for complex mechanical systems, or the CAE software tools used to build them, is required.
  • Experience leading technical projects and collaborating across multidisciplinary engineering teams is required.

Responsibilities

  • Lead development of high-fidelity digital twins and machine dynamics models for Caterpillar construction machines.
  • Serve as the primary subject matter expert for NVIDIA Newton and provide technical leadership for adopting and advancing Newton-based simulation technologies across the enterprise.
  • Evaluate NVIDIA Newton, establish modeling standards and development methodologies, and define best practices for scalable, reusable machine simulation solutions.
  • Work with NVIDIA and internal stakeholders to align Newton capabilities with Caterpillar's long-term simulation, autonomy, robotics, and Physical AI strategies.
  • Develop machine models that accurately represent the behavior, performance, and operational characteristics of Caterpillar construction equipment.
  • Use NVIDIA Newton to model rigid-body dynamics, articulated mechanisms, powertrain systems, hydraulic actuation, tire-ground interaction, and machine-terrain interaction.
  • Develop physics-based representations of machine subsystems and their interactions under realistic operating conditions to simulate machine mobility, implement operation, material handling, and terrain engagement.
  • Collaborate with autonomy, robotics, and AI teams to support reinforcement learning, synthetic data generation, software-in-the-loop testing, and autonomous system validation.
  • Enable integration between machine models, virtual environments, sensor simulation frameworks, and robotics software stacks.
  • Establish validation processes to ensure simulation results accurately represent real-world machine behavior.
  • Work with experts in machine systems, controls, hydraulics, and vehicle dynamics to validate models against engineering analyses, test results, operational data, and machine telemetry.
  • Improve model accuracy, solver robustness, computational efficiency, and simulation credibility to support engineering decisions and autonomous system development.
  • Lead development of Reduced Order Models (ROMs) for Caterpillar construction machinery by converting high-fidelity simulation models into efficient representations for real-time analysis, virtual validation, reinforcement learning, and AI-enabled engineering workflows.
  • Establish methods for Reduced Order Model creation, validation, deployment, and lifecycle management while ensuring accuracy, scalability, and reusability across construction equipment platforms.
  • Collaborate with simulation, AI, and product development teams to accelerate design exploration, improve engineering efficiency, and enable model-based development capabilities.
  • Assess emerging technologies, simulation methodologies, and industry developments in physics-based modeling and Physical AI.
  • Identify opportunities to use new NVIDIA ecosystem capabilities and help define Caterpillar's long-term roadmap for digital twins, virtual product development, machine simulation, and AI-enabled engineering workflows.
  • Influence strategic technology decisions and drive innovation across simulation and autonomy initiatives.

Desired Qualifications

  • Hands-on experience with NVIDIA Isaac Sim, Omniverse, Warp, OpenUSD, and Isaac Lab is preferred.
  • Experience modeling construction machinery equipment is preferred.
  • Experience with ROS2, robotics software, and autonomous system development is preferred.
  • Experience supporting reinforcement learning, synthetic data generation, or Physical AI initiatives is preferred.
  • Experience developing digital twins and virtual validation environments is preferred.
  • Experience using AI code-generation tools such as GitHub Copilot is preferred.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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