Tesla

Makes electric cars, robotaxis and grid batteries

Industrial Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours

Full-timeTilburg, NetherlandsNo salary listed

About the Job

Requirements

A Bachelor of Science in Industrial Engineering, Mechanical Engineering, Operations Research, Financial Engineering, or Engineering Management is required, with at least three years of work experience.
Experience with industry-standard problem-solving methodologies (A3, ATS, UPS), time and motion study analysis (MODAPTS, MTM, or MOST), continuous improvement (Six Sigma techniques and lean manufacturing), and change management.
Experience with applied mathematics and operations research, including linear and nonlinear programming and stochastic modeling.
Experience with discrete-event simulation software such as FlexSim, Siemens Plant Simulation, Arena, Simio, or equivalent.
Advanced-level Microsoft Office skills, primarily Excel and Visio.
Ability to travel internationally and support temporary assignments or relocation as required for project execution and business priorities.

Responsibilities

Plan and validate layouts for new and existing lines, balancing flow, facility needs, efficiency, and ergonomics; support supplier layout and cycle-time reviews, line design, and FAT/SAT.
Develop and optimize line strategies, buffer sizing, capacity models, and overall equipment effectiveness 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, including time studies, work sampling, and standard times, and build labor models to set standards, balance lines, forecast headcount by shift and 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.
Liaise with production, process engineering, equipment, project management, NPI, and suppliers on line design, layouts, cycle times, and performance; support CT studies and, if needed, approve line performance during FAT/SAT activities.
Apply process-improvement expertise to assess production performance, reduce costs, optimize capacity, and enable high-quality manufacturing and service operations.

Desired Qualifications

A Master of Science or Master of Engineering is preferred in Industrial Engineering, Mechanical Engineering, Operations Research, Financial Engineering, or Engineering Management.

Category	Manufacturing
Location	Tilburg, NB
Requisition ID	278175
Type	Full-time

Job Description

<div class="MSWordContent"><p>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. 

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Job Responsibilities

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

Job Requirements

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

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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