Type of contract:
Leased worker, full-time, on-site
Work Location:
Pisa, Italy
Short summary:
The Pisa Research Institute serves as Huawei's European R&D center focused on automotive software and embedded operating systems.
We are seeking a Operating System software engineer with strong background in kernel-level programming, system optimization, and virtualization, to drive next‑generation intelligent cockpit and driving OS architecture.
The successful candidate will architect end‑to‑end solutions from kernel to framework layer, addressing challenges in multi‑domain integration, safety isolation, high‑reliability computing, and AI/GPU acceleration — laying the technical foundation for future intelligent automotive computing platforms.
Key Responsibilities
1) Develop safe and efficient kernel module to improve application performance and reliability;
2) Develop hypervisor on ARM/RISC-v to finish cross-domain virtualization/partition isolation
3) Perform deep analysis and do optimization across kernel scheduling, memory, bandwidth, and inter‑core communication;
Qualifications
1. Master's degree or above in Computer Science, Electrical Engineering, or related fields.
2. 3+ years of experience in Operating System kernel design and development (Linux or equivalent).
3. Proficient in kernel subsystems such as scheduling, memory management, device drivers, and IPC mechanisms.
4. Strong capability in performance analysis, real‑time optimization, and troubleshooting complex system issues.
5. Excellent analytical and communication skills; fluent in English for technical discussions and documentation.
Preferred / Bonus Qualifications
• Familiarity with automotive functional safety standards (ISO 26262, ASIL levels).
• Experience on safety qualification of autonomous driving applications
• Understanding of virtualization (KVM, Xen, VirtIO), with hands‑on experience in GPU virtualization
• Understanding of new architectures such as RISC‑V, ARMv9, or other embedded CPUs.
• Experience collaborating with academia or industry R&D partners.
• Understanding of Android graphics architecture (e.g., Gralloc, EGL, Vulkan) and MESA internals
• Hands-on experience with display protocols (e.g., DRM, Wayland), GPU acceleration (e.g., ARM Mali, Adreno), and VirGL protocol.
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