| Location | Fremont, CA |
| Salary | $84,000–$126,000 Per Year |
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
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
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:
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.