Senior Systems Engineering
Core
Define, integrate, and validate end-to-end vehicle data collection capabilities across embedded systems, cloud services, and data platforms.
Role type
Senior Systems Engineering Lead (Automotive Data Engineering)
Builds
Scalable, observable, and compliant data collection systems for vehicle programs
Domain
Automotive / Connected Vehicles / Cloud Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
End-to-end systems requirements management, System architecture alignment, Verification planning and strategy, Systems-level observability definition, Performance monitoring frameworks, Cross-functional collaboration, Technical traceability, Mentorship
Preferred skills
MBSE methodologies and tools, Automotive/connected vehicle environment experience, Observability ecosystems (OpenTelemetry, Grafana), Cloud platforms (Azure, AWS, Databricks), Agile/CI/CD practices
Technologies
DOORS, Rhapsody, Jira, SysML/UML, Cameo Systems Modeler, MagicDraw, IBM Rhapsody, Sparx Enterprise Architect, Capella, OpenTelemetry, Grafana, Databricks, Azure, AWS
Responsibilities
Lead end-to-end systems requirements management for vehicle data collection, Drive systems architecture alignment for DDC capabilities, Own verification planning for new and existing capabilities, Define and mature systems-level observability requirements, Establish performance monitoring and capability observability frameworks, Partner with teams to define verification and validation coverage
Seniority
Senior, hands-on IC with mentorship responsibilities
