Senior expert - Embedded AI operating system architect at Huawei Technologies Co. Ltd - Qatar

Pisa, Tuscany, Italy -

Full Time

Start Date

Immediate

Expiry Date

27 Aug, 26

Salary

0.0

Posted On

29 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Embedded AI, Real-time Operating Systems, C++, C, ARM Architecture, RISC-V, Kernel Scheduling, Memory Management, Edge AI, Linux Kernel, POSIX, RTOS, Device Drivers, Assembly, Distributed Architectures, Performance Optimization

Industry

Telecommunications

Description

Pisa Research Center plays a leading role within Huawei Group in researching new technologies and applications in the field of digital energy and electric vehicles. The company is looking for an architect who can lead the design of embedded real-time operating systems for next-generation intelligent devices for the digital power and automotive domains. Main responsibilities: Design architectural solutions for the operating system and middleware that can successfully integrate deterministic execution with novel agentic AI technologies. Perform low-level performance analysis and optimization for CPUs, GPUs, NPUs, memory, network and other hardware components in embedded systems. Increase the reliability and reduce end-to-end latencies of critical computations in the embedded systems. Develop key OS technologies to support efficient AI model inference and heterogeneous resource scheduling, enabling a solid foundation for embedded AI applications Mandatory requirements: M.Sc degree in Computer Science, Computer or Electronic Engineering. PhD preferred. Experience on edge AI programming (e.g., LiteRT, TensorFlow Lite) and know-how on mechanisms for deterministic AI inference. Know-how about machine learning, including CNN, DNN and SVM. Excellent knowledge of hardware architectures (SoC, MPU, MMU, interrupt controller, cache and memory hierarchy, memory virtualization, etc.), especially based on ARM or RISC-V ISA. Knowledge about strategies to reduce contention on shared hardware resources. Expert in kernel scheduling, real-time scheduling algorithms and memory management. Excellent knowledge of the C and C++ programming languages. Past experience in Assembly programming and implementation of device drivers. Know-how about internal design of the Linux kernel. Know-how about the POSIX standard. Know-how about the internal design of some RTOS (e.g., FreeRTOS, Zephyr, ERIKA). Expertise on modern distributed service-oriented architectures and strategies for improving determinism and reducing end-to-end latencies. Excellent collaboration and communication skills with good own initiative and problem-solving attitude. Fluency in English and ability to work in a multi-cultural environment. The following requirements will constitute right of priority: Know-how about the automotive OSEK/VDX or AUTOSAR Classic standards. Expertise in low-level performance analysis and optimization for embedded systems. Familiarity with concepts of functional safety standards (ISO 26262, IEC61508). Privacy Statement We therefore commit to protecting your privacy following the local legal data privacy legislation. Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received (http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html) If you have any queries in regards to Huawei WEU Data Privacy please feel free to contact our WEU Data Protection Officer by clicking here (https://www.huawei.com/en/personal-data-request). Huawei is an Equal Opportunity Employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to these characteristics. We are committed to creating an inclusive and diverse workplace.

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Responsibilities

Lead the design of embedded real-time operating systems and middleware for intelligent devices in the digital power and automotive sectors. Focus on integrating deterministic execution with agentic AI and optimizing hardware performance across CPUs, GPUs, and NPUs.