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Cloud Engineer

Jobtailor

  • Lead the virtualization strategy for an Android Automotive OS infotainment ECU
  • Build configurable virtual devices on Android Cuttlefish and QEMU that reproduce the production head‑unit software stack and boot sequence
  • Define hardware and HAL abstraction, virtio‑backed virtual peripherals, and timing and determinism controls
  • Model Automotive Ethernet, SOME/IP, and CAN environments for virtual ECU fidelity
  • Lead a Docker‑and Kubernetes‑based cloud platform on AWS or Google Cloud
  • Provide on‑demand virtual ECU instances and remote access for distributed teams
  • Integrate CI/CD pipelines for automatic deployment of software builds to cloud‑hosted virtual ECUs
  • Establish observability, artifact management, and capacity planning for the virtual‑device fleet
  • Coordinate Volkswagen Group brands, suppliers, platform providers, and the RV Tech joint venture
  • Lead technical discussions and negotiations
  • Serve as the principal technical reference for ECU virtualization and cloud delivery
  • Mentor engineers and establish best practices
  • Enable communication bring‑up, diagnostics, automated test execution, and software validation
  • Investigate and contribute to new connected‑system architectures targeted to the US market

Requirements

  • 8–10+ years of software, cloud, or virtualization engineering experience
  • Deep hands‑on experience building and operating virtual devices on Android Cuttlefish and QEMU
  • Experience with crosvm, KVM, virtio, and AVD/Android Emulator
  • Background in Android Automotive OS (AAOS) and/or Linux or QNX infotainment software stacks
  • Proven cloud engineering at scale using Docker, Kubernetes, CI/CD, AWS or Google Cloud, and observability
  • Working knowledge of Automotive Ethernet/SOME/IP, CAN/CAN‑FD, DoIP/UDS
  • Track record leading technical efforts and coordinating across software, cloud, manufacturing, and supplier teams
  • Proficiency in C/C++ and Python, with familiarity in Java
  • Experience scaling Cuttlefish or QEMU virtual devices across Kubernetes‑based farms with observability tools such as OpenTelemetry and ELK/Grafana
  • Contributions to AOSP or Cuttlefish, or experience extending QEMU/crosvm device models and ARM/aarch64 system emulation
  • Security validation within virtual environments, including SecOC and TLS/mTLS
  • Familiarity with RV Tech SDV/zonal architecture and Volkswagen Group product requirements
  • Familiarity with automotive validation and coverage tooling
  • BS in Engineering
  • Excellent communication, coordination, and negotiation skills
  • Flexibility to accommodate international time‑zone differences
  • Ability to travel approximately 10% and regularly visit local development teams and partners
  • Must satisfy E‑Verify and pre‑employment substance abuse testing requirements

Core Competencies

Demonstrates extensive expertise in virtualization engineering, particularly with Android Automotive OS and cloud platforms. Proficient in building and managing virtual devices, integrating CI/CD pipelines, and leading cross‑functional technical efforts.

Highest‑signal resume keywords

  • Android Automotive OS Expertise
  • Virtual Device Development with Cuttlefish and QEMU
  • Cloud Engineering with Docker and Kubernetes
  • CI/CD Pipeline Integration
  • Automotive Ethernet and CAN Knowledge

Hard Skills

  • C/C++ Proficiency
  • Python Programming
  • KVM and Virtio Experience
  • Security Validation in Virtual Environments
  • AOSP Contributions
  • Observability Tools (OpenTelemetry, ELK/Grafana)
  • Automotive Validation Tooling
  • Cloud Platforms (AWS, Google Cloud)
  • Crosvm and AVD/Android Emulator Experience
  • Timing and Determinism Controls

Soft Skills

  • Excellent Communication Skills
  • Coordination and Negotiation Skills
  • Mentoring and Best Practices Establishment
  • Flexibility for Time‑Zone Differences

Certifications & Qualifications

  • BS in Engineering

Industry Keywords

  • Automotive Ethernet
  • SOME/IP
  • CAN
  • DoIP
  • UDS
  • RV Tech SDV
  • Zonal Architecture

Tools & Technologies

  • Docker
  • Kubernetes
  • AWS
  • Google Cloud
  • QEMU
  • Cuttlefish
  • CI/CD Tools
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