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About the Role
Build and maintain software systems that automate, manage, and operate the secure hybrid network fabric supporting the global AV development pipeline. Combine 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. Design, build, test, deploy, and operate production network services in Go and Python. 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.
Responsibilities
- 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-service health.
- Contribute to the design and evolution of the network connecting on-premises data centers, validation environments, test facilities, and GCP.
- Design secure, scalable, and multi-tenant network solutions that protect sensitive AV data while enabling high-performance access for developer tools, automated build systems, and compute workloads.
- Develop reusable Infrastructure as Code modules and self-service capabilities for engineers and researchers.
- Partner with network, cloud, security, and platform teams to translate architectural requirements into reliable software and automated workflows.
- Provide technical leadership on complex projects and mentor other engineers while remaining a hands-on individual contributor.
- Optimize end-to-end network paths from hardware ingestion points through secure hybrid connectivity and into cloud storage and compute environments.
- Support the low-latency, high-throughput, and highly available connectivity required by validation environments and hardware-in-the-loop (HIL) simulations.
- Collaborate with hardware systems, cloud infrastructure, and platform engineering teams to integrate validation worker pools with cloud-native infrastructure and services.
- Build automation and operational safeguards that make high-volume data movement reliable, observable, and recoverable.
- Implement secure network-service patterns, including least-privilege access, segmentation, encryption in transit, and automated policy enforcement.
- Use performance testing, telemetry, and capacity planning to maintain the throughput and reliability required by AV development workloads.
- Participate in an on-call rotation and incident response for network services and hybrid connectivity.
- Diagnose complex failures using logs, metrics, traces, packet captures, and network telemetry across application, host, network, and cloud layers.
- Lead or contribute to blameless incident reviews and implement corrective actions that prevent recurrence.
- Manage error budgets and balance delivery velocity with service reliability.
Requirements
- Proven experience building and operating production network software and automation.
- Strong networking, software engineering, Linux, and cloud infrastructure skills.
- Experience with on-call support and incident response.
- Ability to lead projects and mentor engineers as a senior individual contributor.
- Experience with large-scale networks, SRE practices, high-throughput data systems, EVPN, or VXLAN is a plus.
Skills
- Go
- Python
- Modern software engineering practices
- API design
- Distributed systems
- Concurrency
- Automated testing
- Safe rollout strategies
- Network as Code
- CI/CD workflows
- Service Level Objectives (SLOs)
- SRE principles
- Telemetry
- Observability
- Infrastructure as Code
- Linux systems knowledge
- Routing
- Switching
- TCP/IP
- DNS
- Data center networking
- BGP
- GCP networking (VPCs, Shared VPCs, routing, firewall policies, load balancing, hybrid connectivity)
- Terraform
- Ansible
- Kubernetes
- GitOps
- Prometheus
- Grafana
- Telegraf
- Centralized logging platforms
- Packet captures
Location
- Sunnyvale, CA
- Austin, TX
Work Type
- Hybrid
Experience Level
- Staff/Senior
- 6+ years of relevant software, networking, or SRE experience preferred
Education Level
- Bachelor's degree in a related field, or equivalent practical experience, preferred
- Professional networking or cloud certification preferred
Salary/Compensations
- $172,000 to $300,000
Benefits
- 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
- Relocation benefits
About the Company
- 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.
- 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.
- 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.
Equal Opportunity
- 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.
- General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.