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Dynamic Simulation Jobs (NOW HIRING)

Lead Loads and Dynamics Engineer

Hawthorne, CA · On-site

$104K - $137K/yr

Experience with transient dynamic simulation and/or multi-body dynamic modeling * Join a team of best-in-class engineers building the foundation of planetary surface exploration * Equity ownership in ...

WI · On-site

Conduct dynamic simulations such as frequency response, harmonic response, random vibration, transient response, and shock analysis as applicable to product requirements. Evaluate structural response ...

New

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Dynamic Simulation information

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$11K

$67.6K

$121.5K

How much do dynamic simulation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for dynamic simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is dynamic simulation?

Dynamic simulation is the process of modeling the behavior of systems as they change over time, often using mathematical and computational techniques. It is commonly used in engineering, manufacturing, and process industries to predict how systems respond to various inputs and scenarios. Dynamic simulation helps identify potential issues, optimize performance, and improve decision-making by providing a virtual environment for testing and analysis.

What are common challenges faced by professionals working in dynamic simulation, and how can they be addressed?

Professionals in dynamic simulation often encounter challenges such as managing complex models with large datasets, ensuring simulation accuracy, and integrating results with other engineering teams. Addressing these challenges typically involves staying updated on the latest simulation software, collaborating closely with multidisciplinary teams, and validating models through real-world data or test cases. Open communication and continual skill development can help mitigate errors and streamline project workflows.

What are the key skills and qualifications needed to thrive as a dynamic simulation engineer, and why are they important?

To thrive as a Dynamic Simulation Engineer, you need a solid background in engineering principles, mathematics, and process modeling, often backed by a degree in chemical, mechanical, or control engineering. Proficiency in dynamic simulation software such as Aspen HYSYS Dynamics, MATLAB/Simulink, or similar tools, along with experience in process control systems, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for accurately simulating real-world processes, optimizing operations, and ensuring safety and efficiency in industrial environments.

What is the difference between Dynamic Simulation vs Mechanical Engineer?

AspectDynamic SimulationMechanical Engineer
Required CredentialsEngineering degree, simulation software proficiencyEngineering degree, mechanical design skills
Work EnvironmentDesign labs, simulation software, research facilitiesManufacturing, design offices, R&D labs
Industry UsageAutomotive, aerospace, energy, manufacturingAutomotive, aerospace, consumer products, industrial equipment

Dynamic Simulation focuses on creating computer models to analyze system behaviors over time, often requiring specialized software and simulation expertise. Mechanical Engineers design, develop, and test physical mechanical systems. While both roles require engineering knowledge, Dynamic Simulation emphasizes virtual testing and analysis, whereas Mechanical Engineering involves hands-on design and physical prototyping.

More about Dynamic Simulation jobs

What other helpful pages are available for Dynamic Simulation?

Other pages related to Dynamic Simulation:

Infographic showing various Dynamic Simulation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Principal Software Engineer, Vehicle Dynamics Simulation - AV

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 24 days ago


Key responsibilities

  • Shape the technical vision, architecture, and roadmap for vehicle dynamics simulation.

  • Develop production-quality C++ interfaces and create workflows for model selection, parameter identification, adaptation, and validation.

  • Translate trajectory and control commands into time-aligned motion, state, and diagnostic outputs.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

At NVIDIA, we are advancing autonomous vehicle development through scalable simulation, AI, and thorough validation. Our Autonomous Vehicle Simulation team builds systems that help engineers develop, test, debug, and improve driving behavior before it reaches the road. We connect planner and controller intent to realistic motion across highway, city, parking, and active-safety scenarios. In this Principal-level individual contributor role, you'll shape a production vehicle dynamics simulation framework spanning model fidelity, parameter adaptation, software interfaces, validation, and integration. Join us in making demanding maneuvers-from low-speed parking to evasive steering and hard braking-more faithful in simulation!
What you'll be doing:
  • 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.

What we need to see:
  • 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.

Ways to stand out from the crowd:
  • Experience with Project Chrono and Chrono::Vehicle, CARLA, CarSim, CarMaker, Simulink and Simscape, ADAMS, Simbody, BeamNG, Unreal Engine and PhysX, or comparable simulation frameworks.
  • Success integrating multibody and parameterized model families across vehicle architectures, payloads, tire and road conditions, parking behavior, or original equipment manufacturer and supplier workflows.
  • Familiarity with Protocol Buffers, gRPC, API and ABI compatibility, Bazel, CMake, containerized simulation, continuous integration, CUDA, validation dashboards, or high-performance numerical computing.

We value different paths to technical excellence and welcome candidates who bring strong judgment, curiosity, and a collaborative approach. Come build the future of autonomous vehicle simulation with us!
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US