特斯拉（高级）软件测试工程师(地图)

任职要求

• BS in Computer Science, Physics, Computer Engineering, Information Security, Electrical Engineering or related field or proof of exceptional skills in related fields, with practical engineering experience.
• 1+ years Software Testing experience.
• Demonstrable experience solving difficult QA problems (scalability, reliability, reporting, parallelization, etc).
• Passionate about troubleshooting failures to determine root cause.
• Very comfortable with Linux environments and hardware-based testing setups.
• Experience with one or more scripting languages such as Perl, Ruby, Python, or Bash is a plus.
• Excellent communication skills and very detail oriented.
• Passionate about improving the customer experience & Tesla’s mission.

This job application may involve an interview with an interviewer outside of Tesla China. If you complete your application, you agree Tesla provides your application information to overseas interviewers in Tesla, Inc. for recruitment purposes. More details and contact information please see  here. (here hyperlink: https://app.mokahr.com/social-recruitment/tesla/46129#/)

工作职责

The Role:
Tesla’s SQA Infotainment Team is looking for engineering technicians who is focused on manual testing within our User Interface Software. Join the talented team that is responsible for validating Tesla’s software releases and fast paced software development release cycles. The ideal candidate combines excellent software testing skills with automation scripting knowledge, as well as a passion for electric vehicles.

Responsibilities:
• Develop detailed test plans to validate Tesla’s User Interface software.
• Validate vehicle functionality.
• Identify effective test strategies for new features being delivered to customers.
• Improve existing vehicle testing strategies.
• Integrate existing automation results with daily/weekly reports.
• Investigate issues reported by customers in the field, internal test engineers, and your own testing.
• Execute functional and regression tests as a part of release testing and triage results.
• Find software bugs through manual testing, automated scripting, and report investigation.