Python Engineer - Fleet Telemetry & Data Pipelines

General Motors Corporation

Sunnyvale (CA)

Hybrid

USD 128,000 - 189,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Relocation assistance
Hybrid work model
GM vehicle discounts
Employee assistance program

Job summary

General Motors Corporation is seeking a hands-on software engineer to own projects around fleet data recording and telemetry workflows. You will build Python services that capture, validate, store, and deliver vehicle and sensor data across cloud and backend systems, and you will drive reliability improvements and data quality.

You will collaborate across cloud, data engineering, and fleet operations, applying AI techniques to accelerate issue triage and root-cause analysis.

Qualifications

  • Experience delivering production-quality Python software and data workflows.
  • Strong fundamentals in distributed systems, data structures, and design.
  • Ability to debug complex cloud, data-integration issues and drive resolution.

Responsibilities

  • Own project-level initiatives to improve reliability of vehicle-to-cloud data recording.
  • Develop Python software for telemetry processing, validation, and tooling.
  • Define data-quality checks, dashboards, and service-level indicators.
  • Debug complex data pipelines and participate in design reviews.
  • Apply AI/LLMs to automate issue discovery and triage.

Skills

Python
Data pipelines
Cloud services
Telemetry processing

Education

Bachelor's degree in CS/engineering

Tools

Kubernetes
BigQuery
Cloud storage
APIs / data contracts

Job description

General Motors Corporation is seeking a hands-on software engineer to own projects around fleet data recording and telemetry workflows. You will build Python services that capture, validate, store, and deliver vehicle and sensor data across cloud and backend systems, and you will drive reliability improvements and data quality.

You will collaborate across cloud, data engineering, and fleet operations, applying AI techniques to accelerate issue triage and root-cause analysis.

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