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Principal Software Engineer, Vehicle Dynamics Simulation - AV

NVIDIA· Engineer, SW
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Santa Clara, CA$248k - $391kfull-timePosted 3mo ago

About the role

Principal-level individual contributor role focused on leading a production vehicle dynamics simulation framework for autonomous vehicle development, spanning model fidelity, parameter adaptation, interfaces, validation, and integration within NVIDIA's Autonomous Vehicle Simulation team.

Responsibilities

  • Be responsible for the technical vision, architecture, and roadmap for vehicle dynamics simulation across highway, city, parking, active-safety, and low-speed workflows.
  • Develop production-quality C++ interfaces for simplified, replay-based, and high-fidelity multibody models.
  • Create scalable model-selection, parameter-identification, adaptation, and validation workflows for diverse vehicle platforms.
  • Translate trajectory and control commands into time-aligned motion, state, and diagnostic outputs.
  • Establish model parameters, software boundaries, regression metrics, compatibility practices, and release gates.
  • Partner with planning and controls, parking, active safety, simulation reliability, synthetic data, and product teams.
  • Set technical standards, mentor engineers, and supply hands-on through design, implementation, debugging, testing, and documentation.

Qualifications

  • Bachelor’s degree in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, or a related field (or equivalent experience).
  • 15+ years of relevant industry experience.
  • Deep knowledge of longitudinal and lateral vehicle dynamics, tire-road interaction, steering, braking, actuator limits, latency, saturation, kinematic and dynamic bicycle models, multi-degree-of-freedom dynamics, multibody simulation, and tire models such as Pacejka Magic Formula, Fiala, FTire, or TMeasy.
  • Strong C++ skills for production software and Python skills for analysis, validation, data processing, tooling, and test automation.
  • A record of building modular, testable production systems for simulation, computer-aided engineering, robotics, autonomous vehicles, automotive controls, or physics-based software.
  • Proven ability to calibrate and validate simulation models using measured logs, test-track data, controlled maneuvers, or simulation benchmarks while maintaining deterministic behavior and regression coverage.
  • Principal-level technical leadership and clear communication across multidisciplinary engineering and product teams.

Skills

Required:Vehicle dynamics knowledgeC++Python

Benefits

  • equity
  • benefits (see link)
Last updated Sep 4, 2026. Interested? Apply on the company site.

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