Fleet Data Engineer – Python & Cloud for AV Learning

General Motors; Sunnyvale (CA); Híbrido; USD 128.000 - 189.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health and wellbeing benefits

GM vehicle discounts

Tuition assistance

Descripción de la vacante

General Motors is seeking an embedded-focused software engineer to own fleet-scale vehicle data recording and telemetry pipelines. You will develop Python services across cloud and backend platforms to ensure data is captured, transferred, and made usable for autonomous vehicle development.

You will define architecture, lead reviews, resolve complex integration issues, and apply AI/LLMs to triage, classification, root-cause analysis, and automation.

Formación

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, Machine Learning, or related technical field.
• Experience delivering production-quality Python software, data workflows, or reliability projects with limited guidance.
• Experience with embedded SW, Robotics, Automotive, or a similar tech stack.
• Strong fundamentals in data structures, algorithms, operating systems, distributed systems, networking, and software design.
• Strong Python coding ability, including writing maintainable, testable, observable, and performance-conscious software.
• Experience with telemetry processing, data pipelines, cloud services, backend integrations, monitoring, or reliability automation.
• Ability to debug complex software, cloud, distributed-system, and data-integration issues and drive root-cause resolution.
• Experience owning technical requirements, plans, milestones, risks, and delivery for a project, feature area, or workstream.
• Ability to communicate technical tradeoffs clearly and collaborate effectively across engineering teams and organizations.

Responsabilidades

• Own project-level initiatives that improve the reliability of vehicle-to-cloud data recording and telemetry workflows.
• Develop Python software for telemetry processing, data validation, metrics, reliability automation, and operational tooling.
• Build components that capture, filter, validate, package, store, and deliver vehicle and sensor data.
• Define data-quality checks, metric semantics, dashboards, service-level indicators, and operational health measures.
• Debug complex issues across data pipelines, cloud ingestion, storage, distributed processing, monitoring systems, and backend integrations.
• Apply AI and large language models (LLMs) to accelerate issue discovery, failure classification, root-cause analysis, knowledge retrieval, and workflow automation.
• Collaborate across cloud, backend, data engineering, fleet operations, and downstream teams to align interfaces, metrics, ownership, and operating expectations.

Conocimientos

Python programming

Data pipelines

Distributed systems

Cloud services

Telemetry processing

Debugging complex software

Educación

Bachelor’s degree in CS/CE/EE/Robotics/AI/ML

Herramientas

Kubernetes

Google Cloud

BigQuery

Cloud storage

Descripción del empleo

General Motors is seeking an embedded-focused software engineer to own fleet-scale vehicle data recording and telemetry pipelines. You will develop Python services across cloud and backend platforms to ensure data is captured, transferred, and made usable for autonomous vehicle development.

You will define architecture, lead reviews, resolve complex integration issues, and apply AI/LLMs to triage, classification, root-cause analysis, and automation.