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Tesla Industrial Engineer m/w/d 
Germany, Brandenburg 
774854210

13.08.2024
What You’ll Do
  • Identify, quantify, compare, and executeproduction process improvements to drive safety and ergonomics, quality (firstpass yield), availability (uptime), performance (cycle time variability),capital utilization, and demand attainment.
  • Evaluate and document value-add (VA),non-value-add (NVA), and non-value-add-but-necessary (NVABN) time requirementsof manual and automated processes utilizing standard templates, software, and methods.
  • Define required to operate (RTO) Headcountbudget and On-Roll targets by shop.
  • Provide line balancing plans toProduction management; gain acknowledgement from Process Engineering thatcritical to quality and sequence dependencies remain in-tact.
  • Create and implement tools to audit efficiencyand identify cost reduction opportunities across Tesla.
  • Define and manage operational metricsfor current and future production systems.
  • Calculate, propose, and implement newmethods and processes for existing production systems.
  • Educate and engage cross-functionalteams in importance of continuous improvement.
  • Manage and communicate improvementopportunities and implementation plans to all relevant levels and functions inthe factory.
  • Support in economic feasibility studiesand make or buy decisions by analysis and preparation of necessary facts incooperation with various departments
What You’ll Bring
  • B.S. in Industrial Eng., MechanicalEng., Engineering Management (M.S./M.Eng. Preferred) with 5+ years of workexperience.
  • Outstanding critical thinking andcommunication skills, with a very high level of emotional intelligence,autonomy, and servant leadership.
  • Innate ability to fully comprehend newprocesses and systems quickly, with high attention to detail.
  • Industrial costcontrol/reporting/analysis experience in high volume manufacturingenvironments.
  • Advanced-level MS Office skills(primarily Excel and Visio).
  • Leadership/management experience and/orend-to-end project management experience.
  • Experience with industry-standardproblem solving methodologies (A3, ATS, UPS), preventive and autonomousmaintenance concepts, time/motion study analysis (MTN, MODAPTS, MOST),continuous improvement (6 sigma techniques, lean manufacturing), and changemanagement.
  • Experience with applied mathematics andoperations research (linear and non-linear programming, stochastic simulationmethods).
  • Experience with any/all of thefollowing: simulation modeling software (FlexSim, AnyLogic), data visualizationsoftware (Tableau), design software (SolidWorks, CATIA), programming languages(SQL, Python, MATLAB, VBA).