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Scalian

Engineering and consulting in AI avionics

Expert Systems Engineer MBSE & AI

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeVitrolles, FranceNo salary listed

About the Job

Requirements

  • Hold an engineering-school diploma or a Master's degree (Bac+5) in systems engineering, software, electronics, industrial automation, industrial computing, or a related domain.
  • Have at least 10 years of experience in complex systems engineering, with recognized expertise in systems architecture, requirements management, Model-Based Systems Engineering (MBSE), and Integration, Verification, Validation, and Qualification (IVVQ).
  • Master the systems life cycle, functional analysis, architecture, configuration management, and the V-cycle.
  • Have significant experience with MBSE approaches and SysML modeling.
  • Have experience with tools such as Capella, CATIA Magic, DOORS, Polarion, or equivalent.
  • Understand large language models (LLMs), natural language processing (NLP), retrieval-augmented generation (RAG), and knowledge graphs.
  • Have experience integrating artificial intelligence into engineering processes or toolchains.
  • Understand the evaluation, traceability, explainability, and governance challenges of artificial intelligence solutions.
  • Be able to translate strategic vision into an operational roadmap.
  • Have experience developing demonstrators, accelerators, or reusable assets.
  • Be able to engage with technical experts, Data/AI teams, decision-makers, and clients.
  • Demonstrate leadership, a results-oriented approach, and a strong focus on industrialization.

Responsibilities

  • Define the vision, guiding principles, and roadmap for systems engineering and MBSE augmented by artificial intelligence.
  • Identify and prioritize high-value business use cases, accounting for data maturity, technical constraints, and risks.
  • Design functional and technical architectures connecting MBSE, Application Lifecycle Management (ALM), Product Lifecycle Management (PLM), simulation, testing, and configuration management environments with artificial intelligence technologies.
  • Lead the development of demonstrators, reusable accelerators, and industrial assets.
  • Define traceable and explainable artificial intelligence approaches compatible with critical-systems requirements.
  • Build an industrializable offering and support presales activities and initial client deployments.
  • Contribute to technology direction and investment, partnership, or acquisition decisions in artificial intelligence applied to engineering.
  • Bring together a community of experts in systems engineering, software, Data/AI, simulation, and IVVQ.

Desired Qualifications

  • Experience in the aerospace, space, defense, rail, automotive, or energy sectors.
  • In-depth knowledge of critical and regulated environments.
  • Experience transforming engineering processes through digital transformation.
  • Contributions to innovation initiatives or the development of technology offerings.

About the Company

Scalian

Engineering and consulting in AI avionics

Scalian Group provides engineering and consulting services to multiple industries, with a focus on AI, avionics, and information systems security. It helps clients by offering tailored solutions built from consulting, managed security services, and software offerings. The company works by combining advisory work, implementation support, and ongoing security and software management to meet each client’s specific needs. What sets Scalian apart is its emphasis on an agile approach and its deep, industry-specific expertise in aerospace and security, enabling rapid adaptation and high-performance results for global industrial leaders. The company aims to deliver precise, reliable solutions that improve performance, security, and efficiency for its clients.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$612.7M
Headquarters
Labège, France
Founded
1989

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