As a Machine Learning System Engineer at Thales in Limours, you will be part of a dynamic team developing Ground Master Radars. Your role involves detailed functional analysis of the radar system, considering client needs and stakeholders. You will define functional characteristics, perform analyses and evaluations, propose system evolutions by prototyping AI-based algorithmic treatments, and produce system specifications. During validation, you will provide expertise to integration teams and conduct functional analyses on radar data.

Must Have

• Define functional characteristics of the radar (energy balance, sequencing, algorithmic definition of processing, especially AI-based).
• Perform analyses and evaluations to justify design using analytical calculations or functional behavior simulations.
• Propose system evolutions by prototyping algorithmic treatments, particularly those based on artificial intelligence.
• Produce system and sub-system specification documentation for implementation.
• Provide expertise to integration teams, identifying and resolving issues.
• Conduct functional analyses on simulated or recorded radar data, developing analysis tools as needed.
• Solid skills in signal processing, probability, mathematical models, and algorithms.
• Knowledge in electronics and software.
• Skills and/or experience in AI-based algorithms.
• Aptitude for investigations and problem-solving.
• Appetite for systems engineering, methodology, and associated tools (requirements management, testing, system modeling, high-level simulation (Matlab), configuration management).
• Ability to work in a team, good interpersonal skills, and autonomy.
• Higher education (Bac+5, engineering school or university).

Good to Have

• First experience in complex systems engineering, preferably in the radar domain.

Perks & Benefits

• Success driven by technological excellence, experience, and shared ambition.
• Attractive compensation package.
• Continuous skill development: training courses, internal academies, and communities.
• Inclusive, benevolent environment respecting employee balance.
• Recognized societal and environmental commitment.

Machine Learning System Engineer F/H

Let's build a future of trust together

Thales is a global high-tech leader specializing in three business sectors: Defense & Security, Aeronautics & Space, and Cyber & Digital. It develops products and solutions that contribute to a safer, more environmentally friendly, and more inclusive world. The Group invests nearly 4 billion euros per year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum, cloud technologies, and 6G. Thales has nearly 81,000 employees in 68 countries.

Our commitments, your benefits

• Success driven by our technological excellence, your experience, and our shared ambition
• An attractive compensation package
• Continuous skill development: training courses, internal academies, and communities
• An inclusive, benevolent environment respecting employee balance
• Recognized societal and environmental commitment

Your daily life

Located 20 minutes from the Paris-Saclay technology hub, the site is one of the largest centers of excellence for surface radars. We contribute to developing, designing, integrating, and testing air surveillance radars dedicated to target detection and identification.

As a Machine Learning System Engineer at Thales, you will be involved in a very dynamic environment as part of the development of Ground Master Radars (GMR), complex projects with high technical value within a motivated and welcoming team. Technically, you will contribute to the detailed functional analysis of the Radar system, particularly taking into account client needs and other stakeholders.

Furthermore, you will need to demonstrate your ability to communicate in this type of context (diplomacy, ability to convince, non-hierarchical management, etc.).

In this capacity, during the specification phase, you will be responsible for the following aspects:

• Define the functional characteristics of the radar (energy balance, sequencing, algorithmic definition of processing, especially AI-based) meeting the desired operational performance requirements.
• Perform analyses and evaluations to support design justification, using analytical calculations or simulations with functional behavior models.
• Propose system evolutions by prototyping algorithmic treatments, particularly those based on artificial intelligence, which are appearing in radar processing chains.
• Produce the appropriate documentation for system and sub-system specifications to enable implementation by the trades.

During the system validation phase, you will need to:

• Provide your expertise to the integration teams by identifying and resolving problems reported by them.
• Perform functional analyses on simulated or recorded radar data following field tests (possibly by re-executing processing algorithms), developing your own analysis tools as needed.

Your profile

With a Bac+5 higher education (engineering school or university), you have acquired solid skills in signal processing, probability, mathematical models, and algorithms, as well as knowledge in electronics and software.

You also have skills and/or experience in AI-based algorithms.

You have a taste for investigations and conducting inquiries to understand and trace the origin of problems.

Furthermore, you have an appetite for systems engineering, methodology, and associated tools: requirements and test management, system modeling, high-level simulation & modeling (Matlab); configuration management.

You know how to and enjoy working in a team, you demonstrate good interpersonal skills and autonomy.

Ideally, you have initial experience in the field of complex systems engineering, preferably in the radar domain.

Thales, a Handi-Engaged company, recognizes all talents. Diversity is our best asset. Apply and join us!