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General Motors is seeking a Senior Systems Engineer to lead end-to-end AV/ADAS data-collection system design and delivery. You will translate stakeholder use cases into system requirements, architecture concepts, and verification plans across vehicles, benches, simulation, cloud data pipelines, and connected fleet campaigns.
You will collaborate with software, platform, regulatory, and data teams to ensure privacy, geofencing, and regulatory compliance while mentoring peers and driving reusable
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next- generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter and more connected, shaping the future of transportation on a global scale.
The AV Fleet Data Engineering team is responsible for the end-to-end design, requirements, integration, validation, and execution of AV/ADAS data-collection capabilities. As a Senior Systems Engineer, you will lead the definition and delivery of Retail AV Data Collection solutions that support ADAS and automated-driving development, fleet monitoring, machine-learning data collection, regulatory compliance, and product improvement. You will translate stakeholder and customer use cases into system-level strategies, feature-level requirements, functional specifications, architecture concepts, and verification plans. This role will lead hands‑on systems engineering across vehicles, benches, simulation and playback environments, cloud/data pipelines, and connected fleet campaigns. The engineer will work closely with software, platform, vehicle integration, quality, data engineering, ADAS, AV, product, legal, and regulatory teams to deliver scalable and reliable data‑recording solutions.
Gather and analyze stakeholder, customer, ADAS, AV, regulatory, privacy, and machine-learning use cases. Decompose product requirements into stakeholder use cases, feature-level specifications, system requirements, interfaces, constraints, and verification criteria. Define system strategies for recording triggers, signals, topics, recording durations, data quality, compute and storage budgets, data offload, privacy, consent, geofencing, and vehicle compatibility. Develop system‑level test strategies, use cases, test cases, functional checks, and validation plans for new functionality. Coordinate with software and platform teams to communicate requirements, defects, dependencies, risks, and release impacts. Ensure system designs account for customer consent, privacy, legal constraints, geofencing, regional requirements, and regulatory data‑recording needs. Support data‑collection request intake by clarifying use cases, identifying available signals, defining trigger logic, assessing pipeline limitations, and determining required software or architecture changes. Identify opportunities to improve requirements quality, systems engineering processes, test automation, configuration management, release readiness, and stakeholder communication. Make technical recommendations based on analysis, communicate lessons learned, and keep engineering leadership informed of assignment status, timing, risks, and technical issues. Mentor engineers and contribute to reusable systems‑engineering standard work, documentation, and technical training.
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