Senior AV Network Engineer

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.

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