What to Expect
Tesla is seeking a Sr. Industrial Engineer to lead the development of optimization tools using advanced operations research (OR) techniques. In this role, you will design and deploy algorithms, models, and full-stack solutions that improve operational efficiency and enable data-driven decision-making through intuitive dashboards and analytics platforms. Leveraging mathematical modeling, simulation, and heuristic methods, you will partner with cross-functional teams to align technical solutions with Tesla’s production and sustainability objectives. Based in Lathrop, California, this role is critical to optimizing global manufacturing workflows and scaling sustainable production through innovation, ownership, and continuous improvement.
What You'll Do-
Lead the design, development, and maintenance of in-house tools (front-end and back-end) to support process optimization, leveraging OR techniques such as mathematical modeling, simulation, and algorithm development, while maintaining a holistic business view to align solutions with strategic organizational goals
Build and implement advanced algorithms and optimization models to solve complex operational challenges, improving relentlessly to enhance efficiency across business processes
Create and maintain dashboards and intuitive operator touchscreen interfaces (including SCADA dashboards) to visualize key metrics, enabling data-driven decision-making and supporting optimization efforts
Develop discrete event simulations to model material flow processes, analyzing and optimizing workflows while solving problems collaboratively with cross-functional teams
Collaborate with stakeholders to identify operational bottlenecks, translate requirements into technical solutions, and ensure seamless tool integration, demonstrating ownership and dependability in project delivery
Continuously refine tools and models by incorporating feedback, monitoring performance, and staying current with OR and development best practices, thereby raising the bar for team excellence
Mentor and develop talent within the current engineering team, providing guidance on OR methodologies, full-stack development, and problem-solving to build high-performing individuals and strengthen team capabilities
Establish and promote a culture of innovation, accountability, and continuous improvement, aligning with Tesla's values to foster an environment where the team thrives and exceeds expectations in the current operational landscape
What You'll Bring-
Degree in Operations, Industrial, or Computer Engineering, or equivalent experience
Extensive experience in operations research, including optimization techniques, algorithm design, and mathematical modeling (e.g. linear programming, simulation, heuristics), with a focus on knowing the business to drive strategic, enterprise-wide impact
Proficiency in full-stack development, including front-end (e.g. JavaScript, React, HTML/CSS) and back-end (e.g. Python, Node.js, Java) technologies, along with DevOps practices or CI/CD pipelines
Strong expertise in data analytics tools (e.g. Python, R, SQL) and visualization platforms (e.g. Tableau, Power BI, or custom solutions) to support insightful, data-driven leadership
Familiarity with discrete event simulation tools (e.g. FlexSim, AnyLogic, Arena) and SCADA systems (e.g. Ignition), with the ability to mentor others in their application
Demonstrated leadership in developing talent, establishing culture, and raising the bar through mentoring the current team, team-building, and ownership of high-stakes projects
Exceptional problem-solving skills, with experience in structured methodologies (e.g. DMAIC, 8D, SPC/OCAP), and the ability to improve relentlessly in a fast-paced, collaborative environment
Proven dependability in delivering results independently and as a leader, with strong communication skills to influence cross-functional teams, drive organizational change, and focus on team dynamics in the current setting
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:
- Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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
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Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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
Expected Compensation
$104,400 - $183,600/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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.
