Tesla

Makes electric cars, robotaxis and grid batteries

Manufacturing Engineering - Process Set Up & Commissioning

Manufacturing EngineeringConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Mechanical, Manufacturing, Industrial, or another Engineering discipline, or equivalent experience.
Ability to derive data-supported root causes and propose countermeasures; experience with Tableau and/or Minitab is preferred, and ability to pull data using efficient SQL queries is required.
Experience developing and improving processes and a demonstrated track record of Overall Equipment Effectiveness improvement activities.
Demonstrated experience ramping a high-volume, automated and semi-automated manufacturing line.
Experience developing and applying Lean Six Sigma methodologies, including waste reduction, Poka-Yoke, Statistical Process Control, Gauge Repeatability and Reproducibility, and Design of Experiments.

Responsibilities

Support Factory Acceptance Tests internationally and onsite Site Acceptance Tests aligned with Operational Excellence objectives.
Execute process qualifications, including statistical data analysis to demonstrate and justify process capability.
Create and execute validation plans for new or modified processes and equipment.
Diagnose manufacturing-process issues and identify root causes using structured problem-solving techniques such as DMAIC, Ishikawa, Five Why, and 8D.
Analyze data from various sources to identify trends in build quality and efficiency.
Develop data collection, visualization, and analysis tools; enable data-driven operational decisions with predictive insights into tool and process performance, including factory data-system integration and software such as MySQL, Python, Minitab, JMP, Tableau, and Ignition.
Review critical process metrics daily for statistical shifts from nominal and develop plans to address them.
Drive continuous improvement during ramp-up to achieve Overall Equipment Effectiveness targets, including cycle time, product quality, and equipment uptime.
Identify production bottlenecks and implement sustainable corrective and preventive actions.

Desired Qualifications

Experience with Tableau and/or Minitab.

Category	Manufacturing
Location	Fremont, California
Requisition ID	270615
Type	Full-time

Job Description

We are seeking a results-driven Process & Manufacturing Engineer to lead the development, validation, optimization, and ramp-up of advanced manufacturing equipment and production lines. This role carries ownership responsibility for complex stations and, in selected cases, full production lines, with a strong focus on achieving Operational Excellence and OEE targets through data-driven decision-making and cross-functional collaboration.

Job Responsibilities

Support Factory Acceptance Tests (FAT) internationally and onsite Site Acceptance Tests (SAT) aligned with Operational Excellence objectives
Execute process qualifications, including statistical data analysis to demonstrate and justify process capability
Create and execute validation plans for new or modified processes and equipment
Diagnose issues found during the manufacturing process, efficiently identify root cause utilizing structured problem-solving techniques such as DMAIC, Ishikawa, Five Why and 8D
Analyze data from various sources to identify trends in build quality and efficiency
Develop robust and clear data collection, visualization, and analysis tools. Enable data driven operational decisions through predictive insights into tool and process performance, including integration of factory data systems and use of software such as MySQL, Python, Minitab, JMP, Tableau, and Ignition
Review critical process metrics daily for statistical shifts from nominal and develop game plans to address
Drive continuous improvement during ramp-up to achieve OEE targets, including cycle time, product quality, and equipment uptime
Identify production bottlenecks and implement sustainable corrective and preventive actions

Job Requirements

Bachelor’s Degree in Mechanical, Manufacturing, or Industrial Engineering or other Engineering discipline, or equivalent in experience
Ability to derive data-supported root causes and propose strong countermeasures. Tableau, and/or Minitab experience preferred. Must be able to pull data using efficient SQL queries
Strong problem-solving skills and an aptitude for learning systems quickly
Experience developing and improving Process. Have a demonstrated track record of Overall
Equipment Effectiveness improvement activities
Strong capacity for managing simultaneous activities and challenges
Demonstrated experience in ramping a high volume, automated and semi-automated manufacturing line
Experience developing and applying lean six sigma methodologies such as: Waste Reduction, Poka-Yoke, SPC, GR&R, DOE

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

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs