Senior Staff Customer Engineer – Automotive AI Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Collaborate with automotive OEMs and Tier 1 suppliers to recognize, develop, and prioritize impactful AI-driven use cases, steering customers toward scalable and effective solutions.

• Serve as a trusted consultant to clients by refining problem definitions, questioning assumptions, and directing technical decision-making towards scalable AI implementations.

• Foster alignment and adoption of solutions by effectively communicating trade-offs, ROI, and long-term architectural consequences to both technical and executive stakeholders.

• Design, integrate, and implement AI/ML-based solutions across cloud environments and in-vehicle systems, facilitating end-to-end vehicle-to-cloud use cases with dependable data flow and system interoperability.

• Create and refine AI models, proof-of-concepts (PoCs), and production-ready solutions, consistently enhancing performance based on real-world data and customer insights.

• Lead technical discussions and solution evaluations centered on AI feasibility, model performance, trade-offs, and system constraints.

• Recognize risks associated with AI deployment and integration (e.g., data availability, security limitations, model reliability) and implement mitigation strategies.

• Partner with internal teams (AI Platform, Product, Engineering) to improve AI functionalities, model deployment pipelines, and platform scalability.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s or PhD preferred).

• Over 12 years of experience in AI / Machine Learning, Data Engineering, or analogous fields, with exposure to automotive software or vehicle systems.

• Thorough understanding of machine learning, data analytics, and AI-based systems, including hands-on experience in delivering real-world solutions.

• Experience in designing and managing data pipelines, analytics workflows, and model-driven systems.

• Strong background in deploying and operating software within cloud environments (AWS, Azure, GCP, or customer-managed infrastructure).

• Experience in integrating platform-based solutions with external systems, data pipelines, and APIs.

• Familiarity with containerization and deployment technologies like Docker and Kubernetes.

• Significant hands-on experience in developing, integrating, and deploying AI/ML-based solutions in production settings.

• Proven capability to influence customer direction and guide technical decision-making in customer-facing roles.

• Experience leading technical discovery, clarifying ambiguous problem spaces, and proposing scalable solution strategies.

• Demonstrated ability to convey complex technical concepts clearly and persuasively to both technical and non-technical audiences.

• Capability to operate effectively in uncertain environments and drive clarity, alignment, and execution.

• Experience in customer engineering, solution engineering, or forward-deployed engineering roles is highly preferred.

• Familiarity with contemporary AI methodologies such as Agentic AI, Retrieval-Augmented Generation (RAG), or data-driven automation is a plus.

🏝️ Benefits

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