Tesla
Process Engineer, Incoming Quality, SRT
Skills
5 days ago
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Important information
Contract type:
Permanent
Salary:
$84,000 – $126,000 / year
Location:
Fremont, CA, USA
Work mode:
Onsite
Published on:
27 October 2026
What they need
What to Expect
Provide technical leadership and operational support to drive continuous improvement of manufacturing processes at the Fremont facility, with a focused emphasis on Scrap, Material Review Board (MRB), and Incoming Quality processes. Lead initiatives to reduce scrap rates, enhance yield, and streamline MRB workflows through data-driven analysis, AI-enabled analytics, and process optimization. Utilize AI technology and develop bots and automation that pull, analyze, and report operational data so leaders can act on scrap, MRB, and incoming-quality issues without manual exports. Spearhead the implementation of OneMRB within Optimus Operations to standardize and digitize material review activities. Coordinate cross-functionally with Engineering, Quality, Supply Chain, and Production teams to resolve process challenges, implement corrective actions, and ensure seamless execution of TSORT and rework processes. Act as a key enabler of operational excellence by driving accountability, transparency, and continuous improvement across critical quality and production systems. 1st Shift: 07:30AM - 04:30PM; Monday - Friday
What You'll Do
- Drive continuous improvement in SRT, MRB, and Scrap processes across Model 3, Model Y, Optimus, and EOL departments
- Utilize AI technology to analyze scrap, MRB backlog, incoming quality, and throughput data, and to surface patterns, drivers, and actions faster than manual review
- Develop, deploy, and maintain bots and automation for data analytics, including scheduled data pulls, exception reports, and recurring briefs, so analysis runs without a manual export
- Collaborate with Production, Quality Engineering, Supplier Quality, Production Control, Packaging, Warehouse, and MRB to define, qualify, and track projects that reduce scrap and improve process reliability
- Identify optimization opportunities across Fremont workflows to improve operational efficiency and reduce scrap-related cost
- Apply lean methods, including value stream mapping, line balancing, 5S, material handling, and safety improvements, to remove waste and sustain higher yield
- Lead process improvements across vehicle assembly and track progress, timelines, and deliverables with standard project tools so work is completed on time
What You'll Bring
- Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Science, or a related technical field, or equivalent experience
- Proven experience in automotive or robotics assembly, manufacturing operations, or hands-on vehicle repair, with a strong understanding of a production environment
- Hands-on experience utilizing AI technology and developing bots or automation for data analytics in a manufacturing, quality, or operations setting, including Python, SQL, scheduled jobs, or AI-assisted analysis
- Demonstrated ability to build repeatable analytics, such as automated scrap, MRB, or quality reports, that replace one-off spreadsheet work and stay accurate as the process changes
- Hands-on proficiency with electromechanical systems, tools, instrumentation, and measurement techniques in an industrial or manufacturing setting
- Solid knowledge of manufacturing processes, quality methods, and structured problem-solving such as 8D and root cause analysis, supported by experience collecting, analyzing, and interpreting data
- Strong analytical and communication skills, with proficiency in Excel, SQL, Python, or similar tools, and a track record of delivering results under pressure in a fast-paced environment
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
- Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Expected Compensation
$84,000 - $126,000/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.
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