The Fibonacci 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 to lead the design of novel technologies for real-time scheduling of AI workloads on next-generation embedded devices.

Key Responsibilities:

• Design architectural solutions for the operating system and middleware that can successfully integrate deterministic execution with novel AI technologies.

• Increase the reliability and reduce end-to-end latencies of critical computation chains also including AI inference.

• Develop key OS technologies to support efficient AI model inference and heterogeneous resource scheduling, enabling a solid foundation for embedded AI applications.

Required Qualifications:

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

• Know-how about machine learning, including CNN, DNN, SVM and LLM.

• Experience on edge AI programming (e.g., LiteRT, TensorFlow Lite)

• Experience on the design of AI schedulers for edge devices, guaranteeing deterministic and real-time inference times in case of multiple requests or applications.

• Expertise on modern distributed service-oriented architectures (SOA) for robotics and embodied AI. Knowledge of the major strategies and mechanisms for improving determinism and reducing end-to-end latencies.

• Excellent knowledge of hardware architectures (SoC, MPU, MMU, interrupt controller, cache and memory hierarchy, memory virtualization, etc.).

• Know-how about strategies and mechanisms to reduce interference and contention on shared hardware resources.

• Knowledge about the internal design of the Linux kernel and/or some RTOS (e.g., Zephyr, FreeRTOS), possibly on subsystems different than device drivers (e.g., scheduler, memory management, etc.).

• Excellent knowledge of the C and C++ programming languages. Past experience in Assembly programming and implementation of device drivers.

• Experience on daily usage of AI coding agents for the design, development and testing of software

• Excellent collaboration and communication skills with good own initiative and problem-solving attitude.

• Fluency in English, ability to work in a multi-cultural environment, availability to travel abroad for periods of 2 weeks.

Nice to have

• Expertise in low-level performance analysis and optimization for embedded systems.

• Know-how about performance optimization of LLMs on edge devices.

What we offer:

We offer an exciting career opportunity to contribute to shaping the future of automotive computing. You will join a multidisciplinary research team working on some of the most challenging topics in AI, software systems, and intelligent vehicles, driving innovation in next-generation mobility technologies. The position provides access to real-world datasets, large-scale computing resources, international collaboration opportunities, and a clear pathway to transform scientific research into impactful technologies deployed at scale.

We offer a gross annual salary typically ranging from €55,000 to €65,000 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 2 monthly salaries, subject to company evaluation. The applicable collective bargaining agreement is the CCNL Telecommunications, within level 6°.

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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.