Senior Expert - Embedded Ai Operating System Architect

Huawei Italia

Pisa

On-site

EUR 90,000 - 120,000

Full time

2 days ago
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Job summary

Huawei Italia Pisa Research Center cerca un architetto per guidare il design di sistemi operativi embedded real-time per dispositivi intelligenti nei settori digitale power e automotive. Le responsabilità includono definire soluzioni OS e middleware, analizzare prestazioni e ottimizzare latenza.

Requisiti: MSc in Informatica o Ingegneria Elettronica (PhD preferito); esperienza edge AI (LiteRT, TensorFlow Lite); conoscenza CNN/DNN/SVM; architetture SoC ARM/RISC-V; kernel/RTOS, C/C++, Linux kernel

Qualifications

  • MSc in Informatica o Ingegneria Elettronica richiesta.
  • Esperienza in edge AI e inferenza deterministica.
  • Conoscenze di CNN/DNN/SVM e architetture hardware SoC ARM/RISC-V.

Responsibilities

  • Progettare soluzioni architetturali per OS e middleware.
  • Eseguire analisi delle prestazioni e ottimizzazione per CPU/GPU/NPUs e memoria.
  • Aumentare l’affidabilità e ridurre latenza end-to-end nelle computazioni embedded.
  • Sviluppare tecnologie OS per inference AI e scheduling eterogeneo.

Skills

Edge AI
Deterministic AI
ARM architecture
RISC-V ISA
Kernel scheduling
Real-time scheduling
C/C++
Assembly programming
Linux kernel

Education

M.Sc in Computer Science or Electronic Engineering
PhD preferred

Tools

LiteRT
TensorFlow Lite
FreeRTOS
Zephyr
ERIKA
Linux kernel
AUTOSAR Classic

Job description

Questa posizione è in Huawei Italia

Il processo di selezione sarà interamente gestito Huawei Italia.

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).
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/weurecall.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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