Edge AI and Cloud-Edge Continuum Specialist

Job Description:

Leonardo is an international industrial group, among the world's leading companies in Aerospace, Defence, and Security, creating 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, and the United States, and operates in 150 countries also through subsidiaries, joint ventures, and participations. A protagonist in major strategic programs globally, it is a technological and industrial partner for Governments, Defense Administrations, Institutions, and businesses.

Within the Advanced Cognitive Solutions area - the Digital Deep Technologies group at the Genoa or Rome site, we are looking for researchers in the fields of Edge AI / Edge Computing and Cloud Computing / Cloud – Edge Continuum.

The selected profiles will be responsible for the following activities:

• Participate in the development of the company's technological strategy and the implementation of innovative research programs in 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 Master's Thesis, Internship, and PhD projects with Universities;
• Setting up laboratory equipment and experimental areas, 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:

Technical Knowledge and Skills:

• Experience in identifying requirements for executing AI applications by selecting suitable software libraries and frameworks, both existing and ad-hoc for the application;
• In-depth knowledge of Linux, C/C++, and Python languages, as well as ML frameworks like 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 TPUs/NPUs based on systolic arrays.
• Familiarity with the characterization of hardware platforms, extracting metrics such as computation latency and energy consumption;
• Knowledge of methods for designing and validating platforms using characterized and developed hardware components;
• Experience in deploying AI models on edge devices with limited resources (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 space-grade hardware certifications;
• Knowledge of languages for heterogeneous architectures (e.g., SYCL);
• Experience with dedicated NPU / AI accelerators (e.g., Hailo-8, Metis, Hexagon) hardware;
• Familiarity with application containerization methods (Docker, Singularity, Podman), building and deploying containers;
• Experience in processing satellite image analysis.

CLOUD-EDGE CONTINUUM PROFILE:

Technical Knowledge and Skills:

• Knowledge of open-source Cloud Computing platforms (e.g., OpenStack) and their creation, management, and instance implementation;
• Familiarity with different application containerization methods (e.g., Docker, Singularity, Podman), building and deploying containers, including 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 Lake 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 at the Edge paradigms, 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).

Educational Qualification:

Master's degree, preferably a Master's and/or a PhD.

Required Experience Level:

Junior and expert resources are required.

Behavioral Competencies:

• Team working;
• Problem solving;
• Flexibility;
• Ability to independently 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 transversal activities;
• Availability for national and international business trips.

Involvement, valorization of skills, care for people's well-being and safety are the cornerstones of our corporate culture.
We strive every day to foster 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 Mechanical Industry and System Installation;

· Working mode: Hybrid;

· Contractual category: Employee;

· Contractual type: permanent;

· Thirteenth month salary;

· Bonuses linked to Business results;

· Welfare vouchers worth €250 annually;

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

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

The company reserves the right to make assessments regarding the employment level and economic proposal, based on objective criteria that emerge during the selection process and in line with the seniority of the identified candidate and the position, in compliance with the principles of equity, transparency, and equal opportunities provided by current legislation.

How does the selection process work?

Following the collection of applications, CVs that best match the required criteria are evaluated and identified.
Selected candidates undergo an introductory interview with the Human Resources team, motivational and aptitude assessment, followed by an in-depth technical interview with the Business.
At the end of the process, feedback is provided to the person, both in case of a positive and negative outcome.

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Hybrid Working: