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Staff Mechanical Design Engineer – Cabin Engineering (m/w/d) Berlin, Germany (Data Engineer)

Tesla Germany GmbH

Alemania📅 16/10/2026

Descripción

What to Expect The Cabin Engineering team leads concept development and launch of nearly all customer-facing areas inside our vehicles including Seats (all rows Structures, Support Systems, Comfort/Mechatronics) and Interiors (Cockpit (Instrument Panel, Door Trim, Console) and Cabin (Overhead Trims, Hard Trims, and Soft Trims)) through a vehicle’s end-of-life. Our team’s goal is to innovate and engineer a premium Interior System for our vehicles while optimizing our critical attributes like cost, mass, manufacturability, etc. This is a pivotal role to act as liaison between US and Berlin engineering teams to tackle challenging problems together. As part of a global company, you will tackle engineering challenges together with US and CN Cabin teams alongside other cross-functional teams to continuously innovate and launch new products for Europe and other growing markets. What You’ll Do - Lead a commodity group of the team (Seats, Cabin, or Cockpit) including scope of several subsystems through full engineering development and launch lifecycles, ensuring technical deliverables and timelines are met according to Program Plan of Record scope - Support technical development of the team via Technical Design Reviews, engineering training, and mentorship of more junior engineers - Design development, validation and manufacturing launch of components balancing inputs and attributes including, but not limited to, Design Studio styling, ergonomics, serviceability, integration packaging with cost, mass, craftsmanship, NVH, automation, etc. This iterative process includes close collaboration with Studio, Purchasing and Supply Chain, Manufacturing, and broader engineering teams through CAD development, CAE loops, RFQ stages, sourcing, part production, launch and build root-causing - Utilize and/or create DFSS, DFMEA, DVP&R concepts and processes to produce robust vehicle component designs alongside hands-on prototyping and trials to learn and fail fast. Consider both analytical
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