Senior Platform Engineer - AV Cloud Engineering

Job Description We are hiring a Senior Platform Engineer to join the Autonomous Vehicle (AV) Cloud Engineering team within AV Core Infrastructure. This role focuses on treating cloud infrastructure as a product and is motivated by building a reliable, easy‑to‑consume platform that helps AV engineers build, test, and run faster with less operational friction. What You’ll Do Build and evolve internal platform capabilities, self‑service workflows, APIs, and automation that make the right path the easiest path for AV engineering teams. Design clean abstractions that allow product and research teams to consume complex infrastructure, including specialized hardware such as GPUs, without deep infrastructure expertise. Improve platform primitives across traffic, service mesh, runtime configuration, and connectivity for distributed AV workloads. Reduce toil and improve reliability through reusable platform tooling, declarative automation, strong service ownership, observability, and SLIs/SLOs. Take ownership of complex platform initiatives from problem definition through design, implementation, and adoption. Partner with adjacent AV infrastructure teams to reduce developer friction and improve the reliability of the platform AV engineers depend on. Contribute to a healthy engineering culture through design reviews, code reviews, mentorship, and clear technical communication. Skills & Abilities Fully qualified proficiency in Kubernetes (GKE) and the Google Cloud Platform (GCP) ecosystem, including VPC, IAM, etc. Hands‑on experience implementing high‑availability systems and managing the lifecycle of production‑grade clusters. Strong proficiency in software engineering and DevOps principles, specifically using Golang/Python and Terraform. Ability to operate independently in an ambiguous environment and translate high‑level requirements into clear technical tasks. A "Growth‑based Mindset" with a commitment to continuous upskilling and a belief that team capacities are developed through effort and coaching. Professional experience managing the trade‑offs between hardware‑level performance (GPU passthrough) and clean cloud abstractions. Preferred Qualifications Experience with Service Mesh (Istio) and managing large‑scale DNS/Traffic configurations in a global environment. Experience with GKE and the broader GCP ecosystem, including networking and IAM; equivalent experience with EKS/AWS or AKS/Azure is also valuable. Experience supporting AI/ML workloads or working with ML platforms and related tooling ecosystems. Experience owning or influencing platform SLOs and availability targets in production. Experience driving technical strategy or cross‑functional alignment across multiple teams. Requirements 5+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front‑line engineers. Bachelor's Degree in Computer Science or related field, or equivalent work experience. Hands‑on experience with Kubernetes in production and strong familiarity with at least one major cloud ecosystem such as GCP, AWS, or Azure. Strong software engineering skills in Go, Python, or similar languages, with the ability to build reusable automation, services, APIs, or controllers. Experience designing, implementing, and operating large‑scale, high‑availability distributed systems in production. Compensation Salary range: $170,000 to $230,000. Bonus potential is available based on company performance, job level, and individual performance. Non‑Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy, 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. #J-18808-Ljbffr