Job Description

Role Overview

As a Staff 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.

Key Responsibilities

Network as Software & SRE Operations

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.

Hybrid Network Architecture & Strategy

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.

Data Ingestion & On-Prem Validation Connectivity

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.

Security, Performance & Reliability

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.

Technical Domain Knowledge

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).

Qualifications

Bachelor’s degree in Network Engineering, Computer Science, or a related field.
7+ 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.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role: is $172,000 to $300,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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Senior AV Network Engineer