Position: Operating System & AI Expert

Work location: PISA, Italy

Short Summary
Pisa Research Center plays a leading role within Huawei Group in researching new technologies and applications in the field of automotive software and embedded systems.
In this role, you will be a versatile software developer focusing on Linux or Android development, next-generation cockpit and autonomous driving systems, low-level performance optimization, and embedded AI solutions.
You will join a dynamic and highly collaborative team of experts and PhDs passionate about research projects and innovative solutions in automotive and embedded systems domains.

Main responsibilities:
• Design and optimize Linux kernel and Android/OpenHarmony components for automotive.
• Design and implement software solutions for next-generation intelligent cockpits and autonomous driving systems.
• Perform low-level performance tuning and optimization for CPUs, GPUs, and other hardware components in embedded automotive systems.
• Optimize embedded AI applications、model inference optimization and implement efficient edge deployment solutions for large AI models in automotive contexts.

Requirements:
• Master's Degree or higher in Computer Science, Engineering, or related field
• Proficiency in C and C++ or Python programming languages
• Experience in automotive software development or architecture design
• Expertise in low-level performance optimization for embedded systems
• Knowledge of real-time operating systems and concurrent programming
• Strong problem-solving skills and ability to optimize complex systems
• Excellent communication skills and ability to work in multi-cultural environments
• Fluent in English

Following will be a plus:

• Strong knowledge of Linux kernel and Android or OpenHarmony internals
• Familiarity with virtualization and containerization technologies
• Experience with embedded AI and machine learning model deployment
• Experience in automotive safety-oriented development (ISO 26262/SOTIF)
• Background in distributed systems and high-performance computing
• Published research papers or patents in relevant areas
• Knowledge of job scheduling optimization in heterogeneous computing environments
• Experience with high-performance computing or supercomputing environments
• Work experience in large multinational corporations
• Experience working with or for Chinese companies
• Expertise in sourcing strategies for technology components
• Strong domain insights in automotive or embedded systems industries
• Availability to travel outside Italy