Senior Systems Engineer – Retail Data joins the AV Fleet Data Engineering team to lead the design and delivery of retail data collection solutions for ADAS and automated-driving development. This role involves translating stakeholder needs into system-level strategies, functional specifications, and verification plans while managing requirements across vehicles, cloud pipelines, and simulation environments. The engineer will define recording triggers, manage data quality, and ensure compliance with privacy and regulatory constraints. Key responsibilities include decomposing product requirements, coordinating with software teams on defects, and mentoring other engineers. Required skills include experience in systems engineering, embedded systems, and automotive software. Preferred technical proficiencies include DNG, Jira, Confluence, SysML, UML, CAN, LIN, GMLAN, FlexRay, Ethernet, SOME/IP, QNX, Linux, Android, Azure, MATLAB, Simulink, Python, and shell scripting to solve complex problems in the vehicle data domain.
What does a Systems Engineer earn?
Median $154916 from 223 postings across 34 companies.
Translate stakeholder and customer use cases into system-level strategies, functional specifications, and architecture concepts.
Decompose product requirements into detailed feature specifications, interface definitions, and verification criteria.
Define system strategies for recording triggers, data quality, storage budgets, and privacy compliance.
Develop system-level test strategies, validation plans, and functional checks for new features.
Manage technical requirements across vehicle platforms, cloud pipelines, and simulation environments.
Coordinate with cross-functional teams to communicate defects, risks, and release impacts.
Evaluate data-collection requests by identifying available signals and determining necessary architecture changes.
Mentor engineers and develop reusable systems engineering standards and training documentation.
What we're looking for
Bachelor of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Systems Engineering, or a related discipline.
5+ years of experience in systems engineering, requirements engineering, embedded systems, automotive software, or related fields.
Demonstrated ability to lead cross-functional technical activities across multiple engineering disciplines.
Experience translating stakeholder needs into system requirements, functional specifications, interfaces, and verification criteria.
Experience with requirements management and traceability tools (DNG preferred).
Strong understanding of complex electrical, mechanical, software, and vehicle system concepts.
Ability to develop and execute system-level test cases and validation strategies.
Experience with DNG, Jira, Confluence, SysML, UML, or other systems engineering tools (preferred).
Azure
Python
SQL
Spark
Databricks
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Hadoop
NoSQL
Big Data
Data Modeling
Data Warehousing
DevOps
Real-Time Processing