
Accelerating the world's transition to sustainable energy.
Test Engineer, Energy Remanufacturing
Required skills
Python
JavaScript
Docker
Git
Linux
Kafka
Tesla is seeking a highly motivated Software/Electrical Engineer to contribute to the continuous improvement of Manufacturing Test Equipment for our Energy Remanufacturing team in Sparks, NV. Primarily, they will aid in the improvement, optimization, and maintenance of test equipment for the Supercharging, Industrial, and Residential Energy lines that operate within our org. Additional responsibilities include supporting test equipment debugging tasks, continuous improvement of legacy test equipment and supporting hand over of new test equipment from the manufacturing development team. This is an exciting opportunity to join an innovative environment where any ideas for improvement, development and enhancement will be welcomed.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
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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
10 reviews
3.8
10 reviews
Work-life balance
2.3
Compensation
4.0
Culture
3.2
Career
4.1
Management
2.8
65%
Recommend to a friend
Pros
Innovative projects and cutting-edge technology
Great team and supportive colleagues
Good compensation and benefits
Cons
Long hours and poor work-life balance
High pressure and tight deadlines
Management issues and high expectations
Salary Ranges
1,403 data points
Junior/L3
Mid/L4
Junior/L3 · Associate Analyst
2 reports
$94,875
total per 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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