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Industrial Engineer (m/w/d) - Gigafactory Berlin-Brandenburg

Brandenburg, Germany (On-site)

Industrial Engineer (m/w/d) - Gigafactory Berlin-Brandenburg

2 Hours ago • 5 Years + • Manufacturing

About the job

7 skills required for this role

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python

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critical-thinking

Job Description

Tesla seeks an Industrial Engineer for its Gigafactory Berlin-Brandenburg. Responsibilities include identifying and executing production process improvements to enhance safety, quality, and efficiency. This role requires quantifying process performance, optimizing capacity, and collaborating across departments (production, design, quality, finance, etc.). The successful candidate will balance short-term tactical improvements with long-term strategic goals, using various methodologies like A3, ATS, UPS, and lean manufacturing principles. Experience with simulation modeling software, data visualization, and programming languages is a plus.

Must have:

B.S. in Industrial Engineering or related field
5+ years of experience in high-volume manufacturing
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Experience with process improvement methodologies
Advanced MS Office skills (Excel, Visio)

Good to have:

M.S./M.Eng. in Industrial Engineering
Experience with simulation modeling software
Experience with data visualization software
Experience with programming languages (SQL, Python)
Experience with industry-standard problem-solving methodologies (A3, ATS, UPS)

What to Expect

A successful industrial engineer willuse his/her process improvement experience to quantitatively assess currentproduction/business system performance and execute change to reduce cost andoptimize capacity. This role demands excellent communication and interpersonalskills as well as a holistic understanding of manufacturingoperations. Industrial engineers will not only execute onchange, but also prioritize projects based on opportunity. Industrialengineers will work independent across departments with production, design,quality, finance, supply chain, demand planning, production planning, andvarious engineering teams to improve factory operations and reduce cost. Asuccessful IE team member will balance short-term tactical improvement withlong-term business process and systems improvement.

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).

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