Automotive VAS Stack Validation Engineer

As an Automotive VAS Stack Validation Engineer, leading validation strategies and end to end use case validation for Automotive Virtualization (VAS) platforms. The role focuses on validating Xen based virtualization, multi OS domains (Android, Yocto, FreeRTOS/SafeRTOS), IVI features, graphics, and Ryzen AI workloads. You will work across the hypervisor, OS domains, drivers, and system level performance to enable next generation automotive compute platforms.

Key Skills:

• Virtualization (Xen): Multi VM Validation (Android/Yocto/FreeRTOS), virtio (camera/audio/media/GPU/NPU), passthrough (UART/I2C/SPI), AVIC, QoS.
• Boot Optimization testing with core boot for S3 S5
• OS Domains: Validation of Safe Linux, SDV AAOS, Yocto, and FreeRTOS/SafeRTOS including graphics workflows, automotive use cases, and IVI related feature validation.
• FreeRTOS/SafeRTOS: Control-domain validation, CRC, safe rendering, crash fallback, mixed criticality flows.
• Graphics/Display: compositor (superframes, gestures, clone, virtual outputs), projection (Android Auto, CarPlay).
• Debug/Recovery: Full stack debug using Unified Debugger, system recovery validation.
• Cloud AI: VAS on AWS/Google Cloud, V710; Ryzen AI workloads
• Audio: HiFi5 pipelines, ACP features validation
• Security: Secure Boot to DomU, validation.

Responsibilities:

• Validate Xen based virtualized platforms across Android, Yocto, FreeRTOS.
• Validate boot flows across firmware hypervisor OS.
• Validate virtio pipelines and device passthrough.
• Validate compositor, display, GPU, and projection workflows.
• Lead system-level debug, performance tuning, mixed criticality validation.
• Support Secure Boot, safety flows, and cybersecurity validation.
• Collaborate with firmware, kernel, virtualization, graphics, and AI teams.
• Drive automating features

Required Background:

• Strong in C/C++, Python, Shell automation.
• Deep experience with Linux kernel, hypervisors, drivers, bootloaders, SoC power states.
• Hands-on with Xen, multi VM orchestration, and automotive compute platforms.
• Test Automation: Development and automate test suites for virtualization, boot flows, OS domains, and IVI features.
• Frameworks Tools: PyTest, Framework, custom Python/Shell-based automation, Jenkins/GitLab CI pipelines.

Academic Credentials:

• Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, or an equivalent technical discipline.

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