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TM
Tesla Motors, Inc.
Industrial Engineer, Energy
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What they do
An Industrial Engineer devises ways to make production processes more efficient and less wasteful. Uses technology and engineering to help companies and organizations produce products with efficient use of time, resources, and energy.
$113,004 / year median in California
+0% projected growth
Job Description
Industrial Engineer, Energy Tesla Motors, Inc. 86,400 - 129,600 USD paid holidays, flex time, 401(k) United States, California, Lathrop Jun 06, 2026
What to Expect
Tesla is seeking anIndustrial Engineer tolead strategic site planning and operations optimization for our manufacturing facility.
You will develop headcountplans,site operations strategies,shift scaling plans, cost models, and capacity roadmaps that shape site operationstotranslate program milestones into actionable execution plans.
Leveraging mathematical modeling, simulation, and heuristic methods, you will partner with cross-functional teams to align technical solutions with Tesla's production and sustainability objectives. Based inLathrop, California, this role is critical to optimizing global manufacturing workflows and scaling sustainable production through innovation, ownership, and continuous improvement. What You'll Do Lead sitestrategicplanning initiatives including headcount modeling,site operations strategy,shift scalingand cost strategy, new programs pilots & validation strategies, forecasting site KPI,ensuring alignment with production ramps, new program introductions, and long-term operational goals Partner closely with Production Planning,Site Operations,NPI, and Manufacturing Engineering teams to understand site Plan of Record (POR), program timelines, critical milestones, and product roadmaps, translating them into actionable site strategies and resource plans Develop and optimize line strategies, buffer sizing, capacity models, and OEE improvement initiatives using advanced data analysis and simulation techniques to ensure site readiness for future production volumes and product mix changes Build and maintain cost models for manufacturing operations, analyzing labor cost structures, efficiency drivers, and cost-per-unit economics to support strategic decision-making and continuous cost reduction initiatives Design discrete event simulations and optimization models to predict site performance, analyze material flow, test capacity scenarios, and evaluate operational what-if analyses, enabling proactive decision-making for future state operations while driving excellence in current state operations Develop and maintain tools and automation solutions using Python, SQL, Tableau, and emerging AI/ML technologies to solve complex operational challenges, continuously refining models by incorporating feedback and staying current with OR best practices to raise the bar for analytical excellence Design advanced labor models that accurately predict headcount needs across shifts and teams, optimize staffing levels against productivity metrics, and ensure labor plans support Safety, People, Accuracy, Rate, and Cost (SPARC) objectives Operate with high autonomy as a fast-paced executor, owning end-to-end delivery of strategic initiatives from concept through implementation, demonstrating bias for action while maintaining rigorous analytical standards Drive operational transformation by deploying Lean Manufacturing tools (Kaizen, Value Stream Mapping, 5S, Kanban, Gemba) and Six Sigma/PDCA methodologies to tackle safety, quality, cost, and scalability challenges, leveraging operations research techniques, A3 problem-solving, Theory of Constraintstoeliminate waste, optimizeprocesses, and build a culture ofownership &relentless improvement, continuing to raise the bar Know the business, collaborate with site leaders, senior management, and executive leadership to shape operational strategy,deliverexecutive presentations to strategically secure approvals, drive critical decisions, and establish a culture of excellence and accountability What You'll Bring Degree in Industrial,OperationsMechanical, Manufacturing Engineering, or equivalent relevant experience Experiencein operations research, including optimization techniques, algorithm design, and mathematical modeling (e.g. linear programming, simulation, heuristics), with a focus on knowing the business to drive strategicimpact Experience withdata analytics tools (e.g. Python, R, SQL) and visualization platforms (e.g. Tableau, Power BI, or custom solutions) to support insightful, data-driven leadership Familiarity with discrete event simulation tools (e.g.
FlexSim,AnyLogic, Arena) and SCADA systems (e.g. Ignition) Demonstratedautonomy,establishing culture, andraisethe bar throughinnovation, ownership, and execution Exceptional problem-solving skills, with experience in structured methodologies (e.g.
You will develop headcountplans,site operations strategies,shift scaling plans, cost models, and capacity roadmaps that shape site operationstotranslate program milestones into actionable execution plans.
Leveraging mathematical modeling, simulation, and heuristic methods, you will partner with cross-functional teams to align technical solutions with Tesla's production and sustainability objectives. Based inLathrop, California, this role is critical to optimizing global manufacturing workflows and scaling sustainable production through innovation, ownership, and continuous improvement. What You'll Do Lead sitestrategicplanning initiatives including headcount modeling,site operations strategy,shift scalingand cost strategy, new programs pilots & validation strategies, forecasting site KPI,ensuring alignment with production ramps, new program introductions, and long-term operational goals Partner closely with Production Planning,Site Operations,NPI, and Manufacturing Engineering teams to understand site Plan of Record (POR), program timelines, critical milestones, and product roadmaps, translating them into actionable site strategies and resource plans Develop and optimize line strategies, buffer sizing, capacity models, and OEE improvement initiatives using advanced data analysis and simulation techniques to ensure site readiness for future production volumes and product mix changes Build and maintain cost models for manufacturing operations, analyzing labor cost structures, efficiency drivers, and cost-per-unit economics to support strategic decision-making and continuous cost reduction initiatives Design discrete event simulations and optimization models to predict site performance, analyze material flow, test capacity scenarios, and evaluate operational what-if analyses, enabling proactive decision-making for future state operations while driving excellence in current state operations Develop and maintain tools and automation solutions using Python, SQL, Tableau, and emerging AI/ML technologies to solve complex operational challenges, continuously refining models by incorporating feedback and staying current with OR best practices to raise the bar for analytical excellence Design advanced labor models that accurately predict headcount needs across shifts and teams, optimize staffing levels against productivity metrics, and ensure labor plans support Safety, People, Accuracy, Rate, and Cost (SPARC) objectives Operate with high autonomy as a fast-paced executor, owning end-to-end delivery of strategic initiatives from concept through implementation, demonstrating bias for action while maintaining rigorous analytical standards Drive operational transformation by deploying Lean Manufacturing tools (Kaizen, Value Stream Mapping, 5S, Kanban, Gemba) and Six Sigma/PDCA methodologies to tackle safety, quality, cost, and scalability challenges, leveraging operations research techniques, A3 problem-solving, Theory of Constraintstoeliminate waste, optimizeprocesses, and build a culture ofownership &relentless improvement, continuing to raise the bar Know the business, collaborate with site leaders, senior management, and executive leadership to shape operational strategy,deliverexecutive presentations to strategically secure approvals, drive critical decisions, and establish a culture of excellence and accountability What You'll Bring Degree in Industrial,OperationsMechanical, Manufacturing Engineering, or equivalent relevant experience Experiencein operations research, including optimization techniques, algorithm design, and mathematical modeling (e.g. linear programming, simulation, heuristics), with a focus on knowing the business to drive strategicimpact Experience withdata analytics tools (e.g. Python, R, SQL) and visualization platforms (e.g. Tableau, Power BI, or custom solutions) to support insightful, data-driven leadership Familiarity with discrete event simulation tools (e.g.
FlexSim,AnyLogic, Arena) and SCADA systems (e.g. Ignition) Demonstratedautonomy,establishing culture, andraisethe bar throughinnovation, ownership, and execution Exceptional problem-solving skills, with experience in structured methodologies (e.g.