Jobs
The Role
Tesla’s Battery supplier Industrialization team is responsible for critical component development and qualification activities
at suppliers. This role will develop, qualify, scale up and optimize manufacturing and quality system procedures for Battery
cell manufacturing. In this role, you will work closely with many organizations both internal and external to Tesla, taking
new battery cell designs from initial concept through into full production.
The battery cell & pack is a critical component in Tesla vehicles and storage systems. This role will have the opportunity to
make meaningful contributions to our products. The work environment is demanding, fast-paced and incredibly exciting.
The ideal candidate should be ready to push their limits, as they join in highly motivated and capable team to make
unbelievable things into reality.
Responsibilities
• Develop, qualify, and oversee battery cell & pack manufacturing process end to end (from upstream mixing &
electrode manufacturing to downstream finished good cell testing, pack assembly and shipping)
• Drive overall supplier industrialization readiness including factory readiness & manufacturing line FAT/SAT.
• Responsible for driving TQP (Tesla Qualification Process) for production launch readiness & ensure manufacturing
lines meet cell design requirements.
• Leads FAs and implement CAs for battery cell inline, OQC, performance and next customer IQC failures.
• Participate in supplier DFM reviews & guide suppliers in efficient use of poke-yokes, best methods of
manufacturing, testing, and gauging and correct tools or assembly equipment to use.
• Responsible for development & implementation of IQC, IPQC and OQC at supplier sites to ensure incoming
product at Tesla is defect free.
• Accountable for supplier audits to ensure their ability to meet part performance, delivery, and reliability
expectations.
• 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.
Requirements
• BS, MS, PhD in Mechanical, Chemical, Material Science engineering discipline and 3+ years of experience in cell
manufacturing & assembly (Pouch/Prismatic/Cylindrical cells)
• Demonstrated experience in developing battery cell & pack manufacturing processes, qualifying & scaling to
volume with suppliers.
• Proficient in Battery Cell FA techniques is mandatory: Cell tear downs experience, experience with cyclers,
spectroscopy, loading analysis/measurement.
• Experience in a manufacturing setup handling Measurement system analysis, SPC (Cp/Cpk analysis, Control
Plans, FMEA & OEE
• Skillful in statistically analyzing factory data to draw meaningful inferences.
• 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.
• Ability to travel to supplier sites domestically up to 75% of time.
• Experience in high volume manufacturing is highly desired.
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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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