Industrial Engineer

Industrial Engineer

Tesla

Tilburg, Netherlands

Tesla is looking to hire an Industrial Engineer to join the Tilburg Remanufacturing team in the development, launch, and optimization of new and existing remanufacturing lines. In this role, you will apply process improvement expertise to assess production performance, reduce costs, optimize capacity, and enable high-quality manufacturing and service operations. You will closely liaise with production, process engineering, equipment, project management NPI and suppliers on line design, layouts, cycle times, and performance, supporting CT studies and if needed approving line performance during FAT/SAT activities. You will work cross-functionally with Manufacturing Engineering, NPI, Production, Quality, Supply Chain, and other teams in a demanding, fast-paced environment on challenging projects that balance short-term gains with long-term process excellence. Travel and potential temporary relocation to support global projects and factory launches may be required.

What You’ll Do

• Plan and validate layouts for new and existing lines, balancing flow, facility needs, efficiency, and ergonomics; support supplier layout/CT reviews, line design, FAT, and SAT
• Develop and optimize line strategies, buffer sizing, capacity models, and OEE initiatives to prepare the site for future volume and product mix changes; support production planning by modeling throughput and identifying capacity constraints
• Assist with material flow setup, part presentation, and part delivery strategies; develop labor models for material handlers to right-size staffing and support efficient, reliable line-side replenishment
• Collaborate with NPI, Production Planning, Process, Equipment, Maintenance, and other cross-functional partners; coach teams on continuous improvement, industrial engineering, and operational best practices
• Conduct work measurement (time studies, work sampling, standard times) and build labor models to set standards, balance lines, forecast headcount by shift/team, and align staffing with SPARC (Safety, People, Accuracy, Rate, Cost)
• Design discrete event simulations and optimization models to forecast site performance, analyze material flow, test capacity scenarios, and support operational what-if decision-making
• Define production metrics and performance targets; establish measurement methods, audit tools, and tracking routines to identify efficiency and cost-reduction opportunities and drive actions that close performance gaps

What You’ll Bring

• B.S. in Industrial Eng., Mechanical Eng., Operations Research, Financial Eng., or Engineering Management (M.S./M.Eng. Preferred) with 3+ years of work experience
• Experience with industry-standard problem-solving methodologies (A3, ATS, UPS), time/motion study analysis (MODAPTS, MTM, or MOST), continuous improvement (Six Sigma techniques, lean manufacturing), and change management
• Experience with applied mathematics and operations research, including linear and non-linear programming and stochastic modelling.
• Experience with discrete-event simulation software (e.g., FlexSim, Siemens Plant Simulation, Arena, Simio, or equivalent)
• Advanced-level MS Office skills (primarily Excel and Visio)
• Outstanding critical thinking and communication skills, with a very high level of emotional intelligence, autonomy, and servant leadership
• Innate ability to fully comprehend new processes and systems quickly, with high attention to detail
• Ability and willingness to potentially travel internationally and support temporary assignments or relocation as required to support project execution and business priorities