ZipRecruiter

Log In

1

Vehicle Simulation Jobs in Georgia (NOW HIRING)

AeroVect

CA$140K/yr

Build and extend the capabilities of the simulation environment: integration with the production autonomy stack, the interfaces it consumes, vehicle and actor models, and the range of environmental ...

Blue Bird

Vehicle Development Engineer

Macon, GA

Collaborate directly with Component Design Engineers, Simulation teams (FEA/CFD), and Plant Manufacturing Operations to refine vehicle designs for optimal assembly and performance. KNOWLEDGE, SKILLS ...

Blue Bird

Vehicle Development Engineer

Macon, GA · On-site

Collaborate directly with Component Design Engineers, Simulation teams (FEA/CFD), and Plant Manufacturing Operations to refine vehicle designs for optimal assembly and performance. KNOWLEDGE, SKILLS ...

Hendrick

Apply advanced vehicle dynamics understanding across simulation, rig testing, and on-track environments. * Drive correlation between simulation, DiL, 7-Post, and track data to ensure findings ...

Jobtailor

Senior Deployment & Release Manager

Atlanta, GA · On-site

$120 - $190/hr

Autonomous Vehicle Commissioning * Software Update Management * Configuration Management * Simulation Testing * Change Management Process Soft Skills * Technical Communication * Process Vision ...

next page

Showing results 1-20

All JobsVehicle Simulation JobsVehicle Simulation Jobs in Georgia

Vehicle Simulation information

What is vehicle simulation?

Vehicle simulation refers to the use of computer models and software to mimic the behavior, dynamics, and performance of vehicles in various scenarios. This technology allows engineers and designers to test and optimize vehicles without the need for physical prototypes, saving time and cost. Vehicle simulation can assess aspects such as safety, efficiency, and handling under different conditions, and is widely used in automotive, aerospace, and research industries. It plays a crucial role in the development of autonomous vehicles and advanced driver-assistance systems.

What are the key skills and qualifications needed to thrive as a vehicle simulation engineer?

To thrive as a Vehicle Simulation Engineer, you need a solid background in mechanical or automotive engineering, physics, and mathematics, often supported by a relevant degree. Familiarity with simulation software such as MATLAB/Simulink, CarSim, or ANSYS, and sometimes certification in these tools, is typically required. Strong analytical thinking, attention to detail, and effective teamwork and communication skills help you excel in this role. These competencies are essential to accurately model vehicle systems, validate designs, and collaborate across engineering teams to ensure vehicle performance and safety.

What are some common challenges faced in a vehicle simulation role, and how can I prepare for them?

Professionals in Vehicle Simulation often encounter challenges such as integrating complex real-world vehicle dynamics into virtual environments and ensuring simulation accuracy. You may also need to collaborate closely with cross-functional teams, including hardware engineers, software developers, and test drivers, to refine simulation models. Staying updated with the latest simulation software and automotive technologies is crucial, as is strong problem-solving ability to address unexpected simulation discrepancies. Building a solid foundation in physics, programming, and communication skills can help you succeed in this dynamic and evolving field.

What is the difference between Vehicle Simulation vs Vehicle Testing Engineer?

AspectVehicle SimulationVehicle Testing Engineer
Required CredentialsBachelor's in Mechanical, Automotive, or Software Engineering; proficiency in simulation softwareBachelor's in Mechanical, Automotive Engineering; experience with physical testing methods
Work EnvironmentPrimarily computer-based, using simulation software and modeling toolsLaboratories, test tracks, and vehicle testing facilities
Industry UsageUsed in automotive design, research, and development to predict vehicle behaviorInvolved in real-world testing to validate vehicle performance and safety
Common Search/ComparisonYesYes

Vehicle Simulation professionals focus on creating virtual models to predict vehicle behavior, while Vehicle Testing Engineers conduct physical tests to validate these models and ensure vehicle safety and performance. Both roles are essential in automotive development, often working together to optimize vehicle design and functionality.

What are popular job titles related to Vehicle Simulation jobs in Georgia?

For Vehicle Simulation jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Vehicle Simulation jobs in Georgia look for?

The top searched job categories for Vehicle Simulation jobs in Georgia are:

What cities in Georgia are hiring for Vehicle Simulation jobs?

Cities in Georgia with the most Vehicle Simulation job openings:

Vehicle Simulation jobs near you

Senior Software Engineer, Simulation

AeroVect

On-site, Remote

CA$140K/yr

Full-time

Posted 16 days ago

Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You will own and extend the simulation tooling. A significant part of the role is test quality. A test suite that produces flaky failures does not provide usable information. Determinism, reproducibility, and verifying that each gate is capable of failing are ongoing responsibilities rather than one-off tasks.
You Will
  • Build and extend the capabilities of the simulation environment: integration with the production autonomy stack, the interfaces it consumes, vehicle and actor models, and the range of environmental and operational conditions that can be represented
  • Maintain and improve that integration as the autonomy stack evolves, including fidelity work where the difference between simulated and real inputs changes how the stack behaves
  • Build and operate scenario execution in the cloud: orchestration, parallelism, result aggregation, artifact capture, and runtime cost modelling
  • Build and extend the evaluation layer that turns a run into a verdict - assertions and pass/fail criteria precise enough to gate a release and stable enough to avoid false failures
  • Build failure-triage tooling: failure clustering, per-failure recordings, and dashboards that autonomy engineers can use without assistance
  • Extend the scenario authoring tooling used by the V&V team, across backend and frontend
  • Maintain simulation foundations: determinism and reproducibility, pipeline performance, and extending coverage to additional maps and sites

You Have
  • Bachelor's in Computer Science, Electrical Engineering, Robotics, or related field
  • Strong Python, with a track record of maintainable code in a shared codebase
  • Hands-on simulation experience for autonomous systems, familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in-house simulatorWorking knowledge of simulation, modelling, and validation methodology, including how simulated results are used to support claims about real-world behaviour
  • Docker and Linux, distributed-systems fundamentals, and experience with GPU-based simulation environmentsCI/CD and cloud execution, experience integrating automated test workflows into CI for end-to-end validation coverage
  • Experience analyzing simulation output and telemetry to identify performance bottlenecks and failure modes
  • Debugging and profiling skills suited to distributed, GPU-bound systems

We Prefer
  • Master's in Computer Science, Robotics, or related field
  • Experience designing and validating safety-critical systems in autonomous driving, aerospace, or robotics
  • Experience developing or maintaining autonomous vehicle software stacks (ROS/ROS2)
  • Cloud-based simulation infrastructure and large-scale distributed test execution
  • Sensor modelling (camera, lidar, radar), environment generation, or perception ground-truth pipelines
  • Automated testing, continuous integration, and data-driven validation
  • Log/bag re-simulation from recorded real-world data
  • Test-signal quality work: flake reduction, determinism debugging, golden-output comparison
  • Safety standards exposure: ISO 26262, ISO 21448 (SOTIF), UL4600, ISO 13849

Apply