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Sr. Supplier Industrialization Engineer (Mechanical), Korea
Gangnam-gu, Seoul Teugbyeolsi
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On-site
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Full-time
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Today
Role
Tesla’s Supplier Industrialization team is responsible for critical component development and qualification activities at suppliers. The job involves communicating well with internal and external teams, traveling to suppliers in different regions, and on-the-spot critical decision making.
The goal: delivering on time quantities of high-quality component parts into Tesla’s production processes to enable extremely rapid development cycles and product launches.
Responsibilities
- Plan, organize, direct, and conduct industrialization related activities within the supply chain team.
- Develop, Manage, Audit, Improve and Correct supplier planning and execution of component manufacturing and assembly techniques and quality control processes from the advanced development phase to mass production qualification.
- Provide leadership for New Product Introduction (NPI) at Suppliers; Lead supplier improvements in scalability, cost, and quality.
- Facilitate communication and clarification of technical requirements between Suppliers and Tesla Purchasing, Quality, and Design teams.
- Accountable for supplier audits to ensure their ability to meet part performance, delivery, and reliability expectations.
- Collaborate with Tesla Design, Quality, and Manufacturing to determine the ideal performance specifications and supplier metrics.
- Accountable for leading, tracking and improving supplier manufacturing process development and launch readiness for new products and design changes.
- Guide suppliers in developing exceptionally robust processes and procedures to promote efficient and seamless production of high-quality products.
- Validate supplier corrective actions involving design and/or process changes to ensure they are robust, sustainable, and implemented for similar potential concerns across manufacturing lines and/or suppliers.
- Provide input on new or alternative materials for improved design, manufacturability, or cost reduction.
Requirements
- BS Degree in Electrical / Mechanical / Industrial / Material/Manufacturing Engineering or evidence of experience and exceptional ability.
- 7+ years of assembly plant experience supporting plastic/machining/casting/stamping/harness/PCBA or similar in a Supplier Quality, Quality Engineering, or Manufacturing Engineering role.
- Experience in Quality Systems and PPAP/APQP processes.
- In-depth knowledge of Geometric Dimensioning and Tolerancing (GD&T) and inspection.
- Possess demonstrable leadership abilities; Previous experience managing safety critical parts.
- Ability to communicate and direct supplier activities at the management level.
- Ability to define and execute a project using project management techniques.
- Ability to thrive in a fast paced, dynamic environment. Excellent team building skills in dealing with suppliers, peers, and other functional areas.
- Strong technical writing ability and an ability to explain complex issues in a concise and plain manner. Must be familiar with SPC and data analysis.
- Good at data analysis, familiar with MS office, especially for Excel and PPT
- English is capable to communicate with foreign stakeholders
- Able to work independently and under high pressure, an average of 50 - 60% travel, possibly on short notice.
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About Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
Employees
Ciudad De Panamá
Headquarters
$800B
Valuation
Reviews
3.1
5 reviews
Work Life Balance
1.5
Compensation
1.2
Culture
1.3
Career
1.8
Management
1.1
15%
Recommend to a Friend
Pros
Strong financial performance
Revenue growth
Company achieving targets
Cons
Poor compensation and raises below inflation
Union-busting and anti-labor practices
Unpaid work demands and wage theft
Salary Ranges
3,570 data points
Junior/L3
Mid/L4
Junior/L3 · Associate Analyst
2 reports
$94,875
total / year
Base
$82,500
Stock
-
Bonus
-
$92,000
$97,750
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assignment
5
Panel Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
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