Software Engineer Intern
4 weeks ago
Tesla is seeking a highly skilled Software Engineer Intern to join our Update Systems team. As a key member of this team, you will be responsible for designing and maintaining frameworks and infrastructure to validate Tesla's update systems. This is a critical component in the way Tesla operates its fleet and continues to improve the customers' experience.
Responsibilities
Develop scenarios, test cases, and write test code for update systems using hardware and software in the loop testing environments
Maintain autonomous test and reporting infrastructure
Maintain internal python tools to support validation efforts and test automation
Define, gather, and report on performance and health metrics related to the system updater
Work cross-functionally to investigate and validate issues
Communicate with developers to proactively identify problems and gaps in test
Requirements
Currently pursuing a degree in Computer Science or a related field with a graduation date between 2025 - 2026
Strong Python programmer
Acute attention to detail
Ability to understand, test, and troubleshoot complicated system interactions
Experience developing tests with reusable code
Ability to develop test guidelines from specifications
Strong understanding of object-oriented design and algorithms
Ability to drive problems to solutions across different groups in the company
Strong communication skills
What We Offer
As a full-time Tesla Intern, you will be eligible for a comprehensive benefits package, including medical, dental, and vision plans, as well as 401(k) and Employee Stock Purchase Plans. You will also have access to a range of employee discounts and perks, including commuter benefits and pet insurance. 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.
Expected Compensation
$36.06 - $50.48 + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
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