Jobs
High Voltage Battery, Mechanical Design Engineering Internship (m/w/d) - Gigafactory Berlin-Brandenburg

High Voltage Battery, Mechanical Design Engineering Internship (m/w/d) - Gigafactory Berlin-Brandenburg
Grünheide (mark), Brandenburg
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On-site
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Internship
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Today
Location: Gigafactory Grünheide
Duration: min. 6 months
Time type: Full Time
Start date: Flexible
Tesla is seeking highly motivated engineering students who thrive in a fast-paced environment and want to apply mechanical concepts to real world projects. Our team drives collaboration with many engineering groups - team players only. Tesla moves quickly, so being self-motivated and disciplined is critical. You must be passionate, but direction changes quickly, so you must also be resilient. As an intern you will work directly with full-time engineers to design, prototype, test and launch new parts and processes to improve our batteries. Our projects include advanced cooling systems, cell interfaces and high voltage distribution. Every day we push the boundaries of what is possible for energy storage in our vehicles, demanding extreme attention to details and the highest standard of performance, quality and manufacturability.
What You'll Do
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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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