Staff Quality Systems Engineer, Solar

What to Expect

Tesla is seeking a Quality Systems Engineer to develop and implement quality management systems at our Solar site. This position will involve managing technicians (direct reports) for vision automation, production audits and project managing data science deliverables, to achieve quantifiable improvements to the Tesla quality systems. This hands-on role demands dependability, integrity, and a servant leadership approach to empower site teams while upholding our uncompromising high bar on safety, quality, and standards. Expect travel, cross-functional collaboration, and a focus on continuous improvement in a sustainable, people-first culture.

What You'll Do

• Lead and support development of Solar energy systems to meet defined specifications and quality standards with suppliers and production processes
• Architect advanced integrated quality systems leveraging real-time data from Tesla's manufacturing platforms
• Champion continuous improvement and first principles thinking to evolve systems beyond baseline requirements
• Manage and mentor technicians who perform select system audits, ensuring consistent execution, reporting and problem solving
• Conduct audits on compliance, system effectiveness, and performance, identifying gaps and driving corrective actions
• Develop feedback loops, CAPA processes, and metrics monitoring to resolve issues proactively and prevent recurrence
• This role requires travel to supplier and production sites as needed
• Collaborate with cross-functional teams to ensure preparedness for external regulatory audits (e.g. ISO 9001, compliance) and customer visits

What You'll Bring

• Degree in Electrical, Mechanical, Materials, Industrial Engineering, or equivalent experience
• ASQ or Six Sigma certification are preferred
• Experience in Solar manufacturing preferred
• A minimum of 5+ years of experience
• Specific training and demonstrated success in applying design for quality and problem solving methodologies, FMEA, process capability analysis, hypothesis testing, DoE, SPC, etc.
• Strong background and demonstrated success applying statistical methods
• Minitab, JMP or other statistical software capabilities are preferred
• Data mining and database (e.g. MySQL) experience
• Excellent oral, written and presentation communication skills

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
• 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

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.