Software QA Test Developer - Automotive

Nvidia Corporation

1 - 4 years

Hyderabad

Posted: 8/19/2023

Job Description

What you'll be doing:


  • Review Automotive SW requirements specifications and technical design documents (Bootloader, Android, IVI)
  • Develop and execute test cases, and write automation scripts using Python or C
  • Work independently and/or with the Engineering team 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.
  • Understand the competitive self-driving vehicle landscape and the safety/security standards
  • Develop/Enhance Tools, Applications or processes to improve Quality and Test efficiency.


What We Need To See:


  • Bachelor's/Master's degree or equivalent experience in Computer Science, Electronics, or related fields.
  • Must have 1 to 4 years of professional experience in software testing for embedded devices/software.
  • 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 threats, defects, and weaknesses in complex systems, and to identify process improvement opportunities
  • Strong written, verbal, and interpersonal communication skills
  • Works well as part of a team


Ways to Stand Out From The Crowd:



  • Experience in Android and/or Automotive IVI.
  • Extensive experience in Bootloader/Security Automotive/Mobile System/SW QA


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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