1 day ago
Wuppertal, GermanyStaff+
Responsibilities
- Design, implement, and maintain CI/CD pipelines for robotics, embedded software, AI/ML, and edge platforms.
- Automate build, test, integration, packaging, release, deployment, and validation workflows across software components and hardware targets.
- Build and operate cloud, edge, embedded, development, integration, and deployment infrastructure.
- Create infrastructure-as-code solutions and reproducible environments for test benches and deployment targets.
- Develop automation scripts, reusable pipeline templates, standardized DevOps workflows, dashboards, and reports.
- Support containerized workflows, artifact management, dependency control, access control, secrets management, security scanning, compliance reporting, and traceability.
- Implement monitoring, logging, observability, automated testing, static analysis, regression testing, and quality gates.
- Automate packaging and deployment of robotics software, middleware, AI/ML models, drivers, and platform services.
- Support ROS 2, DDS, simulation, hardware-in-the-loop, simulation-in-the-loop, and target deployment workflows.
- Troubleshoot build, test, deployment, infrastructure, and environment issues across distributed engineering teams.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related discipline.
- 3–5 years of experience in DevOps, CI/CD, release engineering, software infrastructure, or platform engineering.
- Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar.
- Strong experience with Linux, scripting, automation, software build systems, Docker, and artifact management.
- Experience with infrastructure-as-code, configuration management, or automated environment provisioning.
- Proficiency in Python, Bash, or PowerShell.
- Understanding of software engineering principles, version control, branching strategies, testing workflows, and release processes.
- Preferred qualifications include 5+ years of DevOps or platform experience, Kubernetes, Helm, container registries, cloud platforms, robotics, embedded systems, edge computing, automotive software, and scalable deployment infrastructure.
- Preferred qualifications include experience with Azure, AWS, Google Cloud, ROS 2, DDS, robotics middleware, simulation environments, hardware-in-the-loop, automated validation, static analysis, security scanning, and quality gates.
- Preferred qualifications include familiarity with requirements management, traceability, Automotive SPICE, functional safety, cybersecurity processes, and embedded platforms from NVIDIA, Qualcomm, NXP, Renesas, AMD, Intel, or TI.
- Preferred qualifications include MLOps experience with MLflow, DVC, Kubeflow, Airflow, Weights & Biases, KServe, Seldon Core, ONNX, TensorRT, model registries, experiment tracking, model packaging, deployment automation, and AI/ML workload monitoring.
- Strong troubleshooting, communication, cross-functional collaboration, ownership, and problem-solving skills.
Benefits
- Flexible work environment.
- Learning, professional growth, and development in an international environment.
- Access to internal and external training, coaching, and certifications.
- Recognition for innovation and excellence.
- Opportunities to give back to the community.
- Inclusive work environment with opportunities to grow and develop.
Tech Stack
Categories
About Aptiv
Aptiv is a public automotive technology supplier that designs and manufactures vehicle electrical architectures, ADAS/autonomous software, connectivity solutions, and engineered components. It sells integrated hardware-software platforms, wiring and power distribution systems, sensors, and infotainment to global automakers and mobility companies. Headquartered in Dublin, Ireland, Aptiv is listed on the NYSE and operates worldwide across development centers and manufacturing sites.