Tesla

Makes electric cars, robotaxis and grid batteries

Industrial Engineer - Production Control, Megapack

Logistics & TransportationConfirmed live in the last 24 hours

Full-timeLathrop, CA, USANo salary listedIn-person

About the Job

Requirements

A degree in Industrial Engineering, Manufacturing Engineering, Operations Engineering, or Mechanical Engineering, or equivalent experience.
Experience in industrial engineering within manufacturing, warehousing, material flow, or production control.
Strong skills in time study and work measurement, route or line balancing, capacity modeling, and labor standards.
Experience with PFEP, supermarket or kitting, or line-side material presentation.
Proficiency in data analysis, including advanced Excel, and visualization using Tableau, Power BI, or custom dashboards.
Demonstrated ownership in a fast-paced environment, including driving cross-functional work to completion, escalating early, and protecting operations from impact.
Strong communication and floor presence, with comfort in Gemba, Tier meetings, and leadership updates.

Responsibilities

Own industrial engineering support for Production Control end-to-end, from Glacier warehouse flow through Megafactory line-side delivery.
Optimize delivery routes, including cycle time, distance, frequency, quantity, and workload balance, to improve on-time delivery and reduce line starvation.
Develop and maintain PFEP standards linking packaging, presentation, replenishment, and route design.
Drive part presentation improvements, reducing cardboard and designing associate-friendly line-side presentation, beginning at critical stations and then scaling.
Establish and sustain cycle time standards for Production Control processes and routes, auditing and refreshing data to maintain accurate decisions.
Build capacity and labor models for Production Control routes, shifts, headcount, and productivity, aligned to factory rate and mix.
Partner on OEE Availability and Performance inputs tied to material delivery losses; use time studies, Yamazumi, and A3, TOC, and DMAIC to address root causes.
Build tools and dashboards for route performance, delivery OTIF, cycle time, and capacity visibility using Python, SQL, Tableau, Power BI, or equivalent.
Lead and support kaizen on routes, presentation, supermarket or kitting, and delivery flow; document before-and-after impact.
Act as the primary industrial engineering point of contact for Production Control, driving cross-functional closure with Packaging, Process, Quality Ops, and Production and communicating status, risks, requests, and results to leadership.

Desired Qualifications

Python and/or SQL skills are preferred.
Experience with discrete-event simulation and linear modeling using FlexSim, AnyLogic, Arena, or similar is preferred.
Familiarity with WMS/MFS, SCADA/Ignition, or MES; Lean tools including Kaizen, VSM, Kanban, and SMED; and structured problem-solving are preferred.
Exposure to AGV/AMR routes, automated material handling, or high-volume assembly material delivery is preferred.

Category	Manufacturing
Location	Lathrop, California
Requisition ID	283398
Type	Full-time

Job Description

<p>Tesla is seeking an Industrial Engineer to own and optimize Production Control (PC) operations at Megafactory California. In this role, you will design and improve material delivery systems across Warehouse and Megafactory (line-side delivery) so the right part arrives at the right place, in the right quantity, at the right time. You will lead work on delivery routes, cycle times, capacity, PFEP, and part presentation, using data, time studies, simulation, and practical floor engagement. You will partner with Production, Planning, Materials, Quality, NPI, and Manufacturing Engineering to remove bottlenecks, improve KPI outcomes, and ensure Production Control never becomes the constraint to scaling sustainable energy production.<br></p>

Job Responsibilities

Own IE support for Production Control end-to-end: Glacier warehouse flow through Megafactory line-side delivery
Optimize delivery routes (cycle time, distance, frequency, quantity, workload balance) to improve on-time delivery and reduce line starvation
Develop and maintain PFEP standards linking packaging, presentation, replenishment, and route design
Drive part presentation improvements (reduce cardboard; design associate-friendly line-side presentation) on critical stations first, then scale
Establish and sustain cycle time standards for PC processes and routes; audit and refresh data so decisions stay accurate
Build capacity and labor models for PC (routes, shifts, headcount, productivity) aligned to factory rate and mix
Partner on OEE Availability & Performance inputs tied to material delivery losses; use time studies, Yamazumi, and A3/TOC/DMAIC to close true hurts
Build tools and dashboards (Python, SQL, Tableau/Power BI, or equivalent) for route performance, delivery OTIF, cycle time, and capacity visibility
Lead and support kaizen on routes, presentation, supermarket/kitting, and delivery flow; document before/after impact
Act as the primary IE POC for PC—drive cross-functional closure with Packaging, Process, Quality Ops, and Production; communicate status, risks, asks, and results to leadership

Job Requirements

Degree in Industrial, Manufacturing, Operations, Mechanical Engineering, or equivalent experience
Experience in industrial engineering within manufacturing, warehousing, material flow, or production control
Strong skills in time study / work measurement, route or line balancing, capacity modeling, and labor standards
Experience with PFEP, supermarket/kitting, or line-side material presentation
Proficiency in data analysis, (advanced Excel; Python and/or SQL preferred) and visualization (Tableau, Power BI, or custom dashboards)
Demonstrated ownership in a fast-paced environment: drive cross-functional work to completion, escalate early, and protect operations from impact
Strong communication and floor presence—comfortable in Gemba, Tier meetings, and leadership updates
Experience with discrete-event simulation and , linear modeling (FlexSim, AnyLogic, Arena, or similar) preferred
Familiarity with WMS/MFS, SCADA/Ignition, or MES; Lean toolkit (Kaizen, VSM, Kanban, SMED) and structured problem-solving preferred
Exposure to AGV/AMR routes, automated material handling, or high-volume assembly material delivery preferred

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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