3 days ago
Pisa, ItalySenior
Responsibilities
- Design architectural solutions for operating systems and middleware that combine deterministic execution with AI technologies.
- Develop OS technologies for efficient AI model inference and heterogeneous resource scheduling on embedded devices.
- Improve reliability and reduce end-to-end latency in critical computation chains that include AI inference.
- Design AI schedulers for edge devices with deterministic and real-time inference under multiple requests or applications.
- Analyze and optimize interference, contention, performance, and latency across shared hardware resources.
- Collaborate in a multidisciplinary and international research environment focused on automotive computing and intelligent vehicles.
- Use AI coding agents in the daily design, development, and testing of software.
- Travel abroad for periods of two weeks when needed.
Requirements
- Master of Science degree in Computer Science, Computer Engineering, or Electronic Engineering; a PhD is preferred.
- Knowledge of machine learning, including CNN, DNN, SVM, and LLM technologies.
- Experience with edge-AI programming, such as LiteRT or TensorFlow Lite.
- Experience designing AI schedulers for edge devices with deterministic and real-time inference behavior.
- Expertise in distributed service-oriented architectures for robotics and embodied AI, including mechanisms for determinism and end-to-end latency reduction.
- Excellent knowledge of hardware architectures, including SoC, MPU, MMU, interrupt controllers, caches, memory hierarchies, and memory virtualization.
- Knowledge of Linux kernel internals and/or RTOS internals, such as scheduler and memory-management subsystems in Zephyr or FreeRTOS.
- Excellent knowledge of C and C++; prior Assembly programming and device-driver implementation experience.
- Expertise in low-level performance analysis and optimization for embedded systems is preferred.
- Knowledge of LLM performance optimization on edge devices is preferred.
- Fluency in English, strong collaboration and communication skills, initiative, problem-solving ability, and ability to work in a multicultural environment.
Benefits
- Gross annual salary typically ranges from €65,000 to €75,000, with eligibility for a discretionary annual bonus of 0 to 2 monthly salaries.
- Research role with access to real-world datasets, large-scale computing resources, and international collaboration opportunities.
- Opportunity to translate scientific research into technologies deployed at scale in automotive computing and intelligent vehicles.
- Position is covered by the CCNL Telecommunications collective bargaining agreement at level 6°-7°.
- International travel may be required for periods of two weeks.
About Huawei
Huawei builds telecommunications network equipment, cloud and enterprise IT, and consumer devices for carriers, businesses, and consumers. The privately held company, founded in 1987 and headquartered in Shenzhen, sells radio access and core networks, routers/switches, cloud services, and smartphones/wearables through direct sales and partners in 170+ countries. Its customers include mobile and fixed-line operators and large enterprises across sectors.