Edge AI e Cloud-Edge Continuum Specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8kmk1h

Questa posizione è in Leonardo Il processo di selezione sarà interamente gestito Leonardo. -
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Job Description
Leonardo is an international industrial group, among the main global realities in Aerospace, Defense and Security, which creates multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the United Kingdom, Poland, the United States, and operates in 150 countries also through subsidiaries, joint ventures and shareholdings. A protagonist of the main strategic programs at a global level, it is a technological and industrial partner of Governments, Defense Administrations, Institutions and companies. Within the Advanced Cognitive Solutions area
- Digital Deep Technologies group at the Genoa or Rome office, we are looking for researchers in the fields of Edge AI / Edge Computing and Cloud Computing / Cloud – Edge Continuum. The identified profiles will carry out the following activities:
* Participate in the development of the company's technological strategy and the implementation of innovative research programs in the field of advanced digital technologies;
* Identify growth needs and opportunities both inside and outside the company and study the various possible applications of their research topic;
* Preparation of proposals for external research projects and execution of European or state-funded programs;
* Supervise Thesis, Internship and PhD projects with Universities;
* Setting up laboratory equipment and experimental area, if necessary;
* Document and communicate results with reports and presentations to partners and clients. Below is the description of the profiles sought for the two different areas. ## EDGE AI PROFILE: Knowledge and technical





skills:

* Experience in identifying requirements for executing AI applications by selecting suitable software libraries and frameworks, both existing and custom-built for the application;
* In-depth knowledge of Linux, C/C++ and Python languages, as well as ML frameworks such as Pytorch/Tensorflow/Onnx.
* Experience with computing architectures based on x86, ARM, RISC-V, knowledge of accelerators typically used for training and inference such as GPUs (CUDA or ROCm) and TPU/NPU based on systolic arrays.
* Familiarity with hardware platform characterization, extracting metrics such as computational latency and power consumption;
* Knowledge of design and validation methods for platforms using characterized and developed hardware components;
* Experience in deploying AI models on resource-constrained edge devices (such as microcontrollers, Raspberry Pi, Jetson, Coral).
* Knowledge of model optimization and compression techniques (quantization, pruning, LoRA, early termination, etc). ### Nice to have:
* Experience in co-design of hardware and software platforms for Edge AI, especially in the Space sector;
* Experience with hardware certifications in the Space sector;
* Knowledge of languages for heterogeneous architectures (e.g. SYCL);
* Experience with dedicated NPU / AI accelerators (e.g. Hailo-8, Metis, Hexagon);
* Familiarity with application containerization methods (Docker,



Singularity, Podman), building and deploying containers;
* Experience in processing satellite image analysis. ## CLOUD-EDGE CONTINUUM PROFILE: Knowledge and technical

skills:

* Knowledge of open source Cloud Computing platforms (e.g. OpenStack) and related instance creation, management and implementation;
* Familiarity with different application containerization methods (e.g. Docker, Singularity, Podman), building and deploying containers, also with support for the use of GPUs and hardware accelerators;
* Experience with Cloud orchestration tools to automate deployment, scaling, networking and management of containers (e.g. Kubernetes, OpenShift);
* Familiarity with Data Lakes technologies for Data Analytics and related Cloud services (e.g. Hadoop, Spark);
* Familiarity with GIT, AGILE methodology and Continuous Integration and Delivery;
* Experience in implementing Cloud solutions for Edge hardware, especially in the Space sector. ### Nice to have:
* Experience in Cloud Computing paradigms at the Edge, especially in the Space sector;
* Knowledge of Federated Learning and Confidential Computing methodologies;
* Familiarity with blockchain technologies and cryptography / data protection;
* Experience in deploying services based on Machine Learning and Artificial Intelligence;
* Knowledge of programming languages (e.g. Bash, Python) and automation tools (e.g. Terraform, Ansible).

Education:
Master's/specialist degree, preferably a master's and/or a PhD. Required experience level: Junior and expert resources are required. Behavioral

skills:

* Team working;
* Problem solving;
* Flexibility;
* Ability to autonomously manage research projects. Language

skills:
Knowledge of English (B2 level). **Ot

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8kmk1h