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We are hiring a Senior Platform Engineer to join the Autonomous Vehicle (AV) Cloud Engineering team within AV Core Infrastructure. AV Cloud Engineering owns core IaaS and PaaS capabilities that support autonomous vehicle development and runtime environments. This role is for an engineer who treats 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. You will work on the platform capabilities, abstractions, and self-service workflows that power AV workloads at scale. You should be comfortable turning broad infrastructure problems into durable engineering solutions and improving developer velocity through software, automation, and thoughtful platform design.
Job Responsibility
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
Requirements
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
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
Bachelors 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
Nice to have
Experience with Service Mesh (Istio) and managing large-scale DNS/Traffic configurations in a global environment
Experience with service mesh technologies such as Istio and large-scale DNS or traffic management
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