Software QA Test Developer - Automotive
Nvidia Corporation
4 - 7 years
Hyderabad
Posted: 8/19/2023
Job Description
What you'll be doing:
- Review Automotive SW requirements specifications and technical design documents (Bootloader, Connectivity, Android, IVI)
- Develop and execute test cases, and write automation scripts using Python or C
- Work independently and/or with the Engineering teams to create detailed, comprehensive, and well-structured test plans.
- Setup, prepare and maintain test environment and test data
- Work closely with various teams including project management, hardware, and software developers, provide technical analysis of the bugs and periodically publish statistical reports to all stakeholders.
- Develop/Enhance Tools, Applications, or processes to improve Quality and Test efficiency.
- Lead a team of QA Engineers.
What We Need To See:
- Bachelor's/Master's degree or equivalent experience in Computer Science, Electronics, or related fields.
- 4 to 7 years of professional experience in software testing & automation for embedded software (Android and/or Automotive products).
- Skilled in C or Python programming language
- Proven ability to perform meticulous work with careful attention to detail but performed in a very fast-paced and exciting environment to identify software issues in complex systems, and to identify process improvement opportunities
- Strong written, verbal, and interpersonal communication skills
- Thorough understanding of Linux, Android, or QNX operating system
Ways to Stand Out From The Crowd:
- Experience in leading Android/Automotive SW QA or Automation team
- Thorough understanding of and extensive experience in Android Automotive
About Company
Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It is a software and fabless company which designs graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing as well as system-on-a-chip units (SoCs) for the mobile computing and automotive market. Nvidia is a dominant supplier of artificial intelligence hardware and software. Its professional line of GPUs is used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.
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