Robotics Engineer Jobs

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Principal Software Engineer - Robotics & Physical AI Simulation

Caterpillar Inc.•Irving, TX
•$147,760 - $240,110

About The Position

Caterpillar is hiring a Principal Software Engineer to provide hands-on technical leadership for robotics and Physical AI simulation. The role leads closed-loop simulation for robotics, autonomy, perception, planning, controls, and machine systems, connecting virtual environments with production robotics software and physical-machine testing. It encompasses architecture, critical implementation, engineering standards, cross-team alignment, and mentoring. The position defines and builds simulation capabilities for autonomous and semi-autonomous machines, including software-, hardware-, and vehicle-in-the-loop testing; sensor simulation; scenario generation and evaluation; and simulation-to-real correlation. It also scales parallel simulation, reinforcement learning, and synthetic-data workloads using GPU infrastructure. At the principal level, the engineer owns a major technical capability across teams and programs, turns ambiguous problems into scalable architectures and production software, leads technical reviews and decisions, and balances prototyping with secure, maintainable delivery. The role mentors engineers and partners with simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations. The position requires the candidate to be based in Irving, Texas (Dallas). Domestic relocation assistance and visa sponsorship are available.

Requirements

  • Advanced software engineering experience using Python and one or more of C++, C#, Java, Go, or Node.js.
  • Experience with APIs, distributed systems, containers, automated testing, CI/CD, source control, and observability.
  • Experience with cloud platforms and cloud-native architectures, including Docker and Kubernetes.
  • Demonstrated ability to lead architecture and technical delivery across multiple teams.
  • Strong communication, mentoring, problem-solving, and cross-functional collaboration skills.
  • Experience using AI-assisted development tools such as GitHub Copilot, Claude, or Cursor.
  • Deep hands-on experience with NVIDIA Isaac Sim and Isaac Lab for robotics simulation, learning, training, testing, and validation.
  • Expertise with NVIDIA Newton or comparable GPU-accelerated physics engines, including rigid-body dynamics, contacts, friction, terrain interaction, vehicles, and robotic manipulation.
  • Experience with NVIDIA Omniverse, OpenUSD, ROS 2, Python, and C++.
  • Experience with NVIDIA Replicator for synthetic data and ground-truth generation.
  • Experience with NVIDIA Cosmos or comparable world foundation models for Physical AI and sim-to-real workflows.
  • Knowledge of perception, localization, planning, control, reinforcement learning, and autonomous-machine systems.
  • Experience with SIL, HIL, VIL, real-time systems, coordinate frames, synchronization, and deterministic execution.
  • Experience using CUDA, Docker, Kubernetes, NVIDIA Container Toolkit, and CoreWeave or comparable GPU cloud platforms.

Nice To Haves

  • Seven or more years of software development in robotics, autonomy, controls, or simulation.
  • Experience with heavy equipment, off-road autonomy, autonomous vehicles, or industrial robotics.
  • Experience building automated closed-loop regression environments and measurable sim-to-real correlation.
  • Experience optimizing large-scale parallel simulation and robot-learning workloads.

Responsibilities

  • Define the technical architecture for robotics and Physical AI simulation.
  • Build closed-loop environments for autonomous and semi-autonomous machines.
  • Lead Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop strategies.
  • Integrate ROS 2, autonomy software, machine controls, sensors, and simulation platforms.
  • Develop simulation capabilities for cameras, LiDAR, radar, GNSS, IMUs, and machine sensors.
  • Lead scenario generation, replay, regression testing, robot learning, and policy evaluation.
  • Establish simulation-to-real correlation, fidelity, timing, determinism, and acceptance criteria.
  • Scale parallel robotics simulation, reinforcement learning, and synthetic-data workloads on CoreWeave GPU infrastructure.
  • Own a major technical capability across multiple teams and programs, translating ambiguous business and engineering problems into scalable architectures and production software.
  • Lead architecture reviews, technical investigations, design decisions, and engineering standards.
  • Balance research and prototyping with secure, maintainable, production-ready delivery.
  • Mentor senior and developing engineers and support technical hiring and onboarding.
  • Partner across simulation, robotics, autonomy, controls, AI, data, cloud, product, and customer-facing organizations.
  • Establish a reference architecture and technical roadmap for the capability area.
  • Deliver reusable platform components and measurable engineering outcomes within the first 12 months.
  • Improve quality, automation, scalability, and cross-team adoption while reducing duplicated solutions.
  • Develop technical depth across the broader engineering organization through mentoring and standards.

Benefits

  • Medical, dental, and vision benefits
  • Paid time off plan, including vacation, holidays, and volunteer time
  • 401(k) savings plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSAs)
  • Health Lifestyle Programs
  • Employee Assistance Program
  • Voluntary Benefits and Employee Discounts
  • Career Development
  • Incentive bonus
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement
  • Domestic relocation assistance

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