THE COMPANY:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Basic Qualifications:

• This position requires a Master’s Degree or foreign equivalent in computer science, software engineering, electrical engineering, data science or closely related field plus 1 year of work experience in the job offered or related occupation.
• Must possess expertise/ knowledge sufficient to adequately perform the duties of the job being offered. Expertise/ knowledge may be gained through employment experience or education. Such expertise/ knowledge cannot be “quantified” by “time.” Required expertise/ knowledge includes:
• Performing unit, system integration, system, security, safety or performance testing.
• Effectively and efficiently connect and collaborate with peers, development team, product owners, solution architects and other subject matter specialists.
• Maintain safety, security and privacy standards in all areas of responsibility.
• Linux shell scripting and Android environment to support troubleshooting skills along with the ability to breakdown complex issues.
• SDLC and Quality Assurance methodologies, such as continuous integration environment.
• Ability to describe observed scenarios and provide supporting logs for evidence

• Responsibility includes creation and execution of tests which correlate with usage of the Internet of Vehicle system.
• Closely interact with Product Owners, Solution/Systems Architects, Development Team, as well as business team.
• Creation of descriptive and precise test cases, which include test instructions, data setup and vehicle configuration according to specific requirements, will be critical to your and our success.
• Design test cases and test plans traceably to SW requirements.
• Execute and analyze manual/automated tests across software development lifecycle (SDLC).
• Utilize HIL test benches and participate in Vehicle-In-Loop testing sessions.
• Make sure that execution status and results are tracked utilizing the appropriate tools.
• Create, maintain and track defects. Highlight blocking defects and issues in time.
• Participate in troubleshooting and triaging of issues with stakeholders to drive towards root cause identification and resolution.
• Verify and close out defects, relevant Change Requests prior to release. Develop automation scripts using multiple technologies.
• Utilize multiple automation techniques across multiple infrastructure environments.
• Leverage big data to identify product improvement opportunities and to improve test cases.

• Telecommuting is allowed.

  Basic Qualifications:

• This position requires a Master’s Degree or foreign equivalent in computer science, software engineering, electrical engineering, data science or closely related field plus 1 year of work experience in the job offered or related occupation.

• Must possess expertise/ knowledge sufficient to adequately perform the duties of the job being offered. Expertise/ knowledge may be gained through employment experience or education. Such expertise/ knowledge cannot be “quantified” by “time.” Required expertise/ knowledge includes:
• Performing unit, system integration, system, security, safety or performance testing.
• Effectively and efficiently connect and collaborate with peers, development team, product owners, solution architects and other subject matter specialists.
• Maintain safety, security and privacy standards in all areas of responsibility.
• Linux shell scripting and Android environment to support troubleshooting skills along with the ability to breakdown complex issues.
• SDLC and Quality Assurance methodologies, such as continuous integration environment.
• Ability to describe observed scenarios and provide supporting logs for evidence.