General Motors (GM)

Staff Software Engineer - Networking

Sunnyvale, CA, US$172,000-$300,000Posted 7 days ago

Job Description

Job Description

As a Staff/Senior Software Engineer - Networking in the AV (Autonomous Vehicle) Core Infrastructure organization, you will build and maintain software systems that automate, manage, and operate the secure hybrid network fabric supporting the global AV development pipeline. You will combine strong networking expertise with production software engineering skills to enable reliable, high-performance movement of sensor and validation data between on-premises environments and Google Cloud Platform (GCP).

This is primarily a software development role, not a network operations role focused on scripting or manual device configuration. You will design, build, test, deploy, and operate production network services in Go and Python. You will apply software engineering, distributed systems, and Site Reliability Engineering (SRE) practices to reduce configuration drift and manual operations across the network supporting GM's Vehicle Autonomy mission.

Key Responsibilities

Network Software Systems

  • Design, build, test, deploy, and maintain production network services and automation using Go, Python, and modern software engineering practices.
  • Develop APIs, controllers, integrations, and tools that automate network provisioning, configuration, validation, and lifecycle management.
  • Apply distributed systems principles, API design, concurrency, automated testing, and safe rollout strategies to network infrastructure.
  • Advance Network as Code practices by ensuring network changes are version-controlled, peer-reviewed, tested, and deployed through CI/CD workflows.
  • Define, monitor, and improve Service Level Objectives (SLOs) for network services, including availability, latency, throughput, and change reliability.
  • Apply SRE principles to reduce operational toil, configuration drift, and recurring failure modes.
  • Build telemetry and observability capabilities that provide actionable insight into hybrid connectivity and network-servi

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