Simulation & Cloud Software Engineer for Validating Autonomous Driving Systems (m/f/d)

Your tasks:
• Contribute to the implementation, scaling, and maintenance of a cloud-based simulation environment for autonomous driving system validation
• Design, implement, and optimize interfaces between autonomous driving systems (ADS), simulation platforms, cloud compute resources, and supporting models
• Plan, configure, and execute large-scale simulation workloads in the Cloud ecosystem
• Organize, coordinate, and review software development tasks executed by external suppliers (e.g., interface development, cloud workflow components, simulation tooling)
• Run data processing and analysis pipelines, including post-processing of simulation outputs and automated report generation
• Collaborate closely with interdisciplinary teams and effectively communicate technical findings to stakeholders

Your profile:
• Completed studies in computer science, electrical engineering, mechanical engineering, robotics, data engineering, or a related field
• Professional experience or relevant internships in cloud-based compute workflows and simulation execution
• Expert knowledge of the Microsoft Azure ecosystem, like e.g. in Azure Batch or Kubernetes Services. Experience with other Hyperscalers is an advantage
• Experience executing scalable compute pipelines and distributed simulation workloads
• Professional experience with Python and/or C++, including automated data processing and tooling development
• Strong analytical skills and problem-solving abilities
• Ability to coordinate supplier tasks and ensure high-quality technical deliverables
• Team-oriented mindset with excellent communication skills
• Excellent command of English; German proficiency is a strong advantage