Senior expert - Embedded AI operating system architect

Huawei Italy Research Centers

Pisa

In loco

EUR 90.000 - 120.000

Tempo pieno

14 giorni+
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Descrizione del lavoro

Huawei Italy Research Centers in Pisa seeks an architect to lead embedded real-time OS design for the digital energy and automotive domains. You will define architectural solutions that pair deterministic execution with agentic AI capabilities.

You will perform low-level performance analysis on CPUs/GPUs/NPUs, optimize memory hierarchies, and develop OS technologies to support AI inference and scheduling. Collaboration across multi-cultural teams and fluent English are essential.

Competenze

  • M.Sc degree in CS/EE; PhD preferred.
  • Experience on edge AI programming (LiteRT, TensorFlow Lite) and deterministic AI inference.
  • Know-how about ML (CNN, DNN, SVM).
  • Strong knowledge of ARM or RISC-V architectures and memory hierarchy.
  • Expert in kernel scheduling and memory management.
  • Excellent C and C++ programming skills.
  • Experience in Assembly and device drivers.
  • Knowledge of Linux kernel internals and POSIX.
  • Familiar with RTOS like FreeRTOS/Zephyr/ERIKA.
  • Experience with distributed service-oriented architectures to reduce latency.
  • Fluent English; able to work in multicultural environment.
  • Prior knowledge of OSEK/VDX or AUTOSAR and ISO26262 familiarity.

Mansioni

  • Design OS and middleware architecture for deterministic execution with AI integration.
  • Perform low-level performance analysis and optimization for CPUs/GPUs/NPUs, memory, and other hardware components.
  • Increase reliability and reduce end-to-end latencies of embedded computations.
  • Develop OS technologies to support AI model inference and heterogeneous resource scheduling.

Conoscenze

C/C++
OS kernel
Real-time scheduling
Embedded systems
Performance optimization
ARM/RISC-V
Linux kernel design
English fluency
Device drivers
Deterministic AI inference

Formazione

M.Sc degree in Computer Science/Computer or Electronic Engineering
PhD preferred

Strumenti

LiteRT
TensorFlow Lite
FreeRTOS
Zephyr
ERIKA

Descrizione del lavoro

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 (ISO26262, IEC61508).
What We Offer

We offer you an exciting professional career in one of the leading and fastest growing multinational telecommunication companies, challenging work and a competitive salary package. Personal development is ensured through many training opportunities in Western Europe and abroad.

We offer a gross annual salary typically ranging from €90,000 to €120,000 determined according to objective criteria such as professional experience, competencies, and seniority. Employees may also be considered for a discretionary annual bonus ranging from 0 to 3 monthly salaries, subject to company evaluation. The applicable collective bargaining agreement is the CCNL Telecommunications, Quadro Level.

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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