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).

Other (e.g. Availability for business trips/Specific certifications required...):

• Availability for temporary business trips for cooperation in cross-functional activities;

• Availability for national and international business trips.

Involvement, enhancement of skills, care for the well-being and safety of people are the cornerstones of our corporate culture. We are committed every day to fostering an inclusive and stimulating work environment, actively promoting the principles of inclusion, equity and valuing diversity.

What do we offer?

• Our reference collective labor agreement is the CCNL for Private Metalworking Industry and Plant Installation;

• Working methods: Hybrid;

• Contract category: Employee;

• Contract type: permanent;

• Thirteenth month salary;

• Performance-related bonus;

• Welfare vouchers worth 250 euros per year;

• Opportunities for continuous training and updating of professional skills and soft skills;

• Well-being: we put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.

The company reserves the right to make evaluations regarding the level of classification and the economic proposal, based on objective criteria emerged during the selection process and in coherence with the seniority of the identified candidate and the position, in compliance with the principles of equity, transparency and equal opportunities provided for by current legislation.

How does the selection process work?

Following the collection of applications, the CVs most in line with the required requirements are evaluated and identified. Selected candidates undergo a cognitive interview with the Human Resources team, motivational and aptitude, followed by an in-depth technical interview with the Business. At the end of the process, the person receives feedback, both in case of a positive and negative outcome.

Seniority: Expert

Primary Location: IT - Roma - Via Tiburtina KM12,400

Additional Locations: IT - Genova - Fiumara

Contract Type: Permanent

Total Base Pay Range: 36.000 € – 51.000 € RAL

Hybrid Working: Hybrid