Senior AV Network Engineer

General Motors•Austin, TX

About The Position

As a Senior AV Network Engineer in the AV Core Infrastructure (ACI) organization, you are an architect and site reliability engineer for the secure hybrid network fabric that powers the global AV development pipeline. You are responsible for the high-performance connectivity required to move petabytes of sensor data from physical test benches into our cloud runtimes. This role treats the network as software. You will lead the design of architectures that bridge the gap between on-prem validation and test worker pools and our GCP cloud environments. Your mission is to ensure the network is never a bottleneck for developer velocity, applying SRE principles to maintain a seamless, secure, and resilient Data Flywheel for GM's Vehicle Autonomy mission.

Requirements

Bachelor’s degree in Network Engineering, Computer Science, or a related field.
5+ years of experience in large-scale enterprise, service provider networking, or SRE roles.
Professional-level certifications (e.g., CCNP/CCIE, Arista ACE, or Google Professional Cloud Network Engineer).
Proven experience applying SRE principles to networking infrastructure at scale.
Deep experience with hybrid cloud connectivity and high-throughput data ingestion for validation/test environments.

Nice To Haves

Recognized expert in high-performance networking (BGP, EVPN, VXLAN) and deep understanding of data center fabrics.
Advanced proficiency in Cloud Networking (VPC design, Shared VPCs, Cloud Armor, Cloud Load Balancing).
Deep experience with SRE and Network Automation tools (Ansible, Terraform, Python, Go) and telemetry stacks (Prometheus, Grafana, ELK).

Responsibilities

Treat Network as Code (NaC): Lead the transition toward fully automated, software-defined infrastructure where all network changes are version-controlled, peer-reviewed, and deployed via CI/CD pipelines.
SLO Ownership: Define, monitor, and own critical Service Level Objectives (SLOs) for network performance, focusing on latency, throughput, and availability metrics that impact the AV engineering pipeline.
Toil Reduction: Apply SRE principles to identify and automate repetitive manual tasks, ensuring the team remains focused on high-value architectural improvements.
Observability: Build and maintain advanced telemetry and monitoring stacks to provide real-time visibility into the health of hybrid interconnects and on-prem validation pools.
Design and scale the global backbone connecting on-prem data centers, test tracks, and public cloud providers (primarily GCP Interconnect and potentially Azure ExpressRoute).
Architect secure, multi-tenant network segments that isolate sensitive AV intellectual property while allowing high-speed access for developer tools and automated build processes.
Develop "infrastructure-as-code" templates to enable self-service networking for AV developers and ML researchers.
Optimize the end-to-end data path from hardware ingestion points through the secure cloud network and into production storage/runtimes.
Ensure the networking requirements for on-prem validation and test worker pools are met, providing the low-latency, high-reliability paths necessary for real-time hardware-in-the-loop (HIL) simulations.
Collaborate with hardware systems teams to ensure validation pools are seamlessly integrated into the ACI cloud-native IaaS/PaaS layers.
Implement and manage zero-trust network architectures, ensuring end-to-end encryption for data in transit without sacrificing the throughput required for massive AV training sets.
Manage "Error Budgets" for network services, balancing the need for rapid feature deployment with the requirement for extreme system stability.
Act as the final escalation point for complex network outages, using professional-grade packet analysis and telemetry to resolve multi-dimensional issues across the stack.