Industrial Engineer, Operations Research
Tesla
Industrial Engineer, Operations Research
| Job Category | Manufacturing |
|---|---|
| Location | AUSTIN, Texas |
| Req. ID | 233297 |
| Job Type | Full-time |
Tesla participates in the E-Verify Program
Tesla is a rapidly growing, innovative company based in the Austin, TX. We design and manufacture advanced electric vehicles that are changing the future of transportation and advanced stationary battery packs that are changing the energy industry. We are building technically strong, fast-moving teams that pride themselves on superior execution. Industrial Engineers at Tesla are responsible for optimizing manufacturing systems by means of value stream mapping, data driven analysis and cross-functional collaboration. Beyond this, Industrial Engineers are responsible for measuring, improving and managing resource allocations to meet business objectives efficiently as possible and lead company efforts to move towards lean production systems. Gigafactory Texas has an opportunity for a highly motivated Industrial Engineer. The ideal candidate will have technical competency in work measurement, linear programming, discrete event simulation, data science and other operation research methods. Furthermore, this position will interact across all Gigafactory Texas areas, the successful candidate will be expert in discrete event simulation, optimization, data engineering, labor & space planning, material flow, lean production philosophy, problem solving methodologies and project management.
- Develop discrete event simulation models of direct and indirect manufacturing process and procedures such as production lines, pedestrian & traffic flows, warehouse management, buffers definition and material flow resources
- Incorporate statistical variation, uncertainty and impacts of unplanned events to overall production output
- Work with manufacturing engineering and production teams to identify production constraints and evaluate potential solutions to lift them. Lead, deploy and execute optimal solution implementation
- Optimize process design, layout and resources allocation by analyzing throughput capabilities, bottlenecks, buffer sizing and material routing
- Support new and sustaining production line requirements, including layout management, space allocation and material flow optimization
- Develop and improve visualization framework to capture high level factory operation and detailed subsystem operation to generate concise, clear, and easily way to track and communicate analysis and KPIs status for projects and stakeholders
- Provide high-quality & decision-making framework using quantifiable tradeoffs, value-stream analysis and resources sensitivity through high fidelity mathematical modeling and simulation
- 3+ years' industrial engineering experience in a manufacturing environment (automotive industry preferred) and in inferential & descriptive statistics, data engineering or catalyst and simulation modeling of complex manufacturing environments
- 2+ years’ experience designing, analyzing and optimizing production lines and material flow strategies
- Extensive analytical skills for performing detailed data analysis and summarizing results for executives
- Strong ability to communicate effectively at all organizational levels
- Leadership driving projects through problem resolution methodologies with diverse teams in high-volume manufacturing environments
- Approach problems and unknowns from a lean principles point of view and back it up math to solve it
- Expert in discrete event simulation software: FlexSim
- Expert in 2D/3D layout in AutoCAD, Revit, Solidworks
- Expert in work measurement tools with MTM, MODAPTS or MOST
- Expert and strong in office 365, data visualization and analytics ability in programming Python, R, SQL, Excel (VBA), Power BI, C++, Tableau
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)
- LGBTQ+ care concierge services
- 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
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice