Artificial Intelligence Researcher
2 giorni fa
rome, lazio, Italia
microTECH Global LTD
Tempo pieno
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Job Title: Embedded AI OS ArchitectLocation: Pisa, ItalySalary: 100,000EUR + Bonuses + Tax ExemptionTotal Package up to 200,000EURThis client requires candidates to relocate to Italy and work on-site in Pisa.
Main
Responsibilities:
Architecture & AI Integration: Design OS and middleware architectures that integrate deterministic execution with novel agentic AI technologies.
Performance Optimization: Perform low-level performance analysis to reduce end-to-end latencies across embedded hardware components (CPUs, GPUs, NPUs, memory, network).
Resource Scheduling: Develop core OS technologies to support efficient AI model inference and heterogeneous resource scheduling.
Requirements:
M.
Sc. or Ph.
D. in Computer Science, Computer Engineering, or Electronic Engineering.
OS & Kernel Expertise: Deep knowledge of Linux kernel internals and/or RTOS (e.
G., Zephyr, FreeRTOS, ERIKA), including subsystems, POSIX standards, and deterministic service-oriented architectures.
Hardware Architecture: Strong understanding of ARM or RISC-V ISA, SoCs, MMUs, cache/memory hierarchies, and reducing shared resource contention.
Software Engineering: Excellent C/C++ programming skills, with past experience in Assembly and device driver implementation.
Edge AI & ML: Experience with machine learning (CNN, DNN, SVM), edge AI programming (LiteRT, TensorFlow Lite), and deterministic AI inference mechanisms.
Desirables:Knowledge of automotive standards (OSEK/VDX, AUTOSAR Classic).
Familiarity with functional safety standards (ISO 26262, IEC61508).
If this looks of interest, please reach out to for more information.
Main
Responsibilities:
Architecture & AI Integration: Design OS and middleware architectures that integrate deterministic execution with novel agentic AI technologies.
Performance Optimization: Perform low-level performance analysis to reduce end-to-end latencies across embedded hardware components (CPUs, GPUs, NPUs, memory, network).
Resource Scheduling: Develop core OS technologies to support efficient AI model inference and heterogeneous resource scheduling.
Requirements:
M.
Sc. or Ph.
D. in Computer Science, Computer Engineering, or Electronic Engineering.
OS & Kernel Expertise: Deep knowledge of Linux kernel internals and/or RTOS (e.
G., Zephyr, FreeRTOS, ERIKA), including subsystems, POSIX standards, and deterministic service-oriented architectures.
Hardware Architecture: Strong understanding of ARM or RISC-V ISA, SoCs, MMUs, cache/memory hierarchies, and reducing shared resource contention.
Software Engineering: Excellent C/C++ programming skills, with past experience in Assembly and device driver implementation.
Edge AI & ML: Experience with machine learning (CNN, DNN, SVM), edge AI programming (LiteRT, TensorFlow Lite), and deterministic AI inference mechanisms.
Desirables:Knowledge of automotive standards (OSEK/VDX, AUTOSAR Classic).
Familiarity with functional safety standards (ISO 26262, IEC61508).
If this looks of interest, please reach out to for more information.