Sr. Process Engineer, Production Control, Megapack

The Sr. Process Engineer will be responsible for design and execution of material flow, analyzing and optimizing conveyance to support production rates, warehouse flow layouts, and processes related to launch of all new production facilities for all Tesla products. We are looking for a talented and highly motivated individual who can create systematic workflows to unlock efficient material flows, drives business process, high throughput capabilities and operating models throughout our organization. This team is responsible for supporting all physical engineering needs of the Production Control team, including designing mechanisms for all material flow aspects from receiving, metering, including order fulfillment through sequencing and kitting, with solutions to safety and ergonomic hazards. Successful members of the team will be highly proactive and self-sufficient in pursuing improvement projects, be able to multitask and refocus efforts immediately to meet constantly shifting demands in a fast-paced environment and have exceptional organizational skills to coordinate changes with all affected teams.

Responsibilities

• Collaborate with stakeholder teams such as Manufacturing Engineering, Packaging Engineering, Logistics, Supply Chain teams, IT Systems Developers, and Material Planning to prioritize and maximize operational efficiency of Production Control Operations team
• Design and optimize material flow conveyance routes, facility layouts by analyzing bottlenecks and buffer sizes using process modeling
• Lead and own PFEP standardization and adoption of processes through the entire value stream of material flow
• Develop simulation models for all processes including receiving, staging, and conveyance deliveries to the assembly line
• Analyze and improve material flow processes from the network of external warehouses to manufacturing facilities optimizing for space, cost, and service levels
• Develop business cases for improvement projects such as material handling - touch reduction, automation support etc., with a focus on workforce planning and management
• Create documentation for training materials such as job cards, standard work, and standard operating procedure

Requirements

• Degree in Industrial Engineering, Supply Chain Management, or equivalent experience
• 6 years of material flow experience in a highly automated manufacturing facility
• Commanding knowledge of lean principles, logistics business systems, pre-determined motion and time standards
• Practical experience utilizing FlexSim, or a similar simulation tool
• Advanced skills in SQL, Python, or other analytical tools for data mining and analysis
• Ability to work efficiently and productively in both independent and team settings
• Demonstrated talent for implementing process flow improvements
• Proficiency in AutoCAD, or similar 2D CAD software

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.