None
What to Expect
A successful Industrial Engineer (IE) will use process improvement
experience to quantitatively assess current production/business system
performance and execute change to reduce cost and optimize capacity. This role
demands excellent communication and interpersonal skills as well as a holistic
understanding of manufacturing and supply chain operations. IEs will not only
execute on change but also prioritize projects based on opportunity. IEs will
work across departments with production, operations, quality, finance, supply
chain, demand planning, production planning, and various engineering teams to
improve factory operations and reduce cost. A successful IE team member will
balance short-term tactical improvement with long-term business process and
systems improvement.
What You'll Do
Identify, quantify, compare, and execute supply chain process improvements
to drive cost reductions, capacity improvements, efficiency gains, and set
operations up for success
Create and implement tools to audit efficiency and identify cost reduction
opportunities across Tesla
Define and manage operational metrics for current and future production
control systems
Calculate, propose, and implement methods and processes for existing
production control systems
Define and maintain PFEP & work with Packaging engineering, supply chain
and Quality to optimize
Educate and engage cross-functional teams in importance of continuous
improvement and supply chain best practice
Manage and communicate improvement opportunities and implementation plans
to all relevant levels and functions in the factory
What You'll Bring
B.S. in Industrial Eng., Mechanical Eng., Operations Research, Financial
Eng., Engineering Management (M.S./M.Eng. Preferred) with 3+ years of
work experience
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
Industrial cost control/reporting/analysis experience in high volume
manufacturing environments
Advanced-level MS Office skills (primarily Excel and Visio)
Leadership/management experience and/or end-to-end project management
experience
Experience with industry-standard problem-solving methodologies (A3, ATS,
UPS), preventive and autonomous maintenance concepts, time/motion study
analysis, continuous improvement (6 sigma techniques, lean
manufacturing), and change management
Experience with applied mathematics and operations research (linear and
non-linear programming, stochastic simulation methods)
Experience with any/all of the following: simulation modeling software
(FlexSim), data visualization software (Tableau), design software
(SolidWorks, CATIA), programming languages (SQL, Python, MATLAB, VBA)
