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Gizli Şirket in Türkiye seeks a mechanical design engineer to develop and integrate mission systems on military vehicles, using CATIA and GD&T.
You will collaborate across procurement, manufacturing and verification teams, prepare technical drawings, and contribute to manufacturability assessments and AI-assisted design workflows.
Fluency in English and strong communication are required; bachelor degree and 3–5 years of experience are expected.
The eligible candidates will be responsible for the performance of the following tasks:
Carrying out mechanical design and integration activities for mission systems on military vehicles, such as C4I systems, weapon systems and vehicle mission-specific subsystems.
Supporting procurement, manufacturing and assembly activities.
Managing interfaces with other subsystems and their inputs during development and verification phases.
Preparing engineering documentation, including concept studies, CAD models and technical drawings.
Bachelor’s degree (BSc) in Mechanical Engineering or Automotive Engineering.
3-5 years of mechanical design experience.
Good command of written and spoken English.
Proficiency in CAD software (preferably CATIA).
Strong communication and interpersonal skills.
Ability to manage multiple tasks effectively.
No military service obligation (for male applicants).
Experience with or familiarity using AI tools to support engineering workflows.
Knowledge of Geometric Dimensioning and Tolerancing (GD&T): ability to interpret tolerance specifications, apply GD&T symbols on technical drawings, and make design decisions considering manufacturing/assembly requirements.
Practical understanding of welded fabrication, sheet-metal bending/forming processes and mechanical mechanisms (design for manufacturability, common failure modes, assembly considerations).
Basic knowledge to support structural analyses: providing appropriate inputs for component/structural analyses (material properties, boundary conditions, load cases) and interpreting outputs (stress/strain distributions, safety factors, deformations) to inform design and verification decisions.
Basic-level understanding of AI agents: what agents are, their typical capabilities and limitations, and common use cases.