Simulation Engineer (all genders) - Simulation Platform
MOIA GmbH
| Company | MOIA GmbH |
| Category | Engineering |
| Location | Wolfsburg |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 23 Dec 2025 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Join us as a Simulation Engineer (all genders) in our Simulation Platform team and help shape the future of autonomous mobility!
At MOIA, we are building the next generation of safe, scalable, and intelligent mobility solutions. Simulation and virtual validation are at the heart of enabling autonomous driving systems to evolve rapidly while maintaining the highest standards of safety and reliability.
To strengthen our Virtual Testing capabilities, we are looking for Simulation Engineers who are passionate about building and scaling advanced simulation infrastructure. In this role, you will help internalize critical simulation know-how, reduce supplier dependency, and establish long-term ownership of mission-critical validation systems.
You will work closely with cross-functional engineering teams and external partners to transfer, stabilize, and evolve simulation tooling that enables large-scale virtual validation for autonomous driving systems.
You will join the Virtual Testing Domain within the Cloud System Development department. The domain is responsible for enabling scalable virtual validation environments and simulation infrastructure that support the development and validation of autonomous driving capabilities. You will work within Simulation Platform , focused on scalable simulation infrastructure, tooling, and automation frameworks. The role and the core team is primarily located in Wolfsburg. This is a pure Individual Contributor role with strong technical ownership and collaboration across multiple engineering domains.
What you will do
Be a digital twin engineer
Design and implement high-fidelity 3D environments that accurately represent real-world conditions.
Develop, calibrate, and validate vehicle models, including dynamics, sensors, and control systems.
Integrate digital twins into simulation workflows for system validation and testing.
Work with sensor models (camera, lidar, radar) to create realistic perception scenarios.
Collaborate with domain experts to define environment parameters, constraints, and performance metrics.
Develop scalable simulation and validation systems
Design and implement advanced scenario toolchain and automation frameworks.
Build reusable components for scalable test case generation, configuration, and evaluation.
Ensure cross-platform compatibility, robust version control, and high-quality documentation standards.
Support infrastructure scaling for large-scale simulation execution environments.
Internalize and evolve simulation infrastructure
Absorb, understand, and take ownership of externally developed simulation infrastructure and validation tooling.
Support structured knowledge transfer from supplier teams into MOIA’s engineering organization.
Refactor, document, and stabilize externally developed systems for long-term maintainability and scalability.
Identify architectural risks, technical debt, and improvement opportunities in supplier-built components.
Contribute to establishing sustainable internal ownership of core simulation IP.
Strengthen MOIA’s long-term simulation capabilities
Contribute to internal standards and best practices for simulation architecture and software quality.
Reduce supplier dependency by taking over feature development, maintenance, and further evolution of simulation systems.
Enable internal engineering teams to independently evolve the validation toolchain.
Collaborate closely with validation, systems, and autonomous driving teams across the organization.
What will help you to fulfill your role
Experience working with simulation platforms such as VTD, Unity, Unreal Engine, Carla, ASM, or comparable frameworks.
Strong hands-on experience in simulation development and software engineering.
Proven ability to understand, maintain, and take ownership of complex software systems.
Excellent prog
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