Mechanical Design Engineer

Job Location: Timisoara Recruitment process: HR discussion Technical interview Key Responsibilities Mechanical Design & Packaging Design sensor housings, brackets, mounts, and protective features for electromagnetic sensors exposed to environmental stress conditions. Create and release 3D CAD models, assemblies, and 2D drawings compliant with OEM and internal standards. Perform packaging and integration studies considering the parts in movement Perform tolerance stack-ups to ensure sensor performance across manufacturing variation, vehicle assembly, and in-use movement. Account for water exposure, thermal expansion, vibration, shock, and corrosion in mechanical designs. Design components suitable for high-volume production using injection molding, overmolding, insert molding, stamping, joining or machining. Support material selection for plastics, elastomers, and metals. Collaborate with magnetic and electrical engineers to translate performance requirements into mechanical constraints. Support tooling development, part validation, and supplier technical discussions. Incorporate DFM/DFA and cost-optimization initiatives without compromising durability. Support design reviews, design changes, and customer issue resolution. Required Qualifications Bachelor's degree in Mechanical Engineering or related field. 3+ years of experience in automotive mechanical design, preferably in sensors or wheel-area components. Proficiency in CATIA v5 or NX. Strong understanding of packaging, tolerance analysis, and GD&T. Experience with harsh-environment automotive components (wheel area, underbody, or powertrain). Experience with electromagnetic, Hall-effect, or inductive sensors. Knowledge of sealing concepts, elastomers, and overmolding techniques. Familiarity with APQP, DFMEA, PPAP, and OEM design standards. Experience working in Tier-1 or Tier-2 automotive supplier organizations. Effective cross-discipline communication (mechanical electrical production). Ability to balance performance, cost, and durability in high-volume programs.