NVIDIA Recruitment 2022 | Freshers | System Software Engineer | Bangalore

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NVIDIA Recruitment 2022 | Freshers | System Software Engineer | Bangalore

Selenium Online Training with Project (by G C Reddy)

Company: NVIDIA Corporation

Company Website: www.nvidia.in

Positions: Systems Software Engineer – Tools Development

Experience: Freshers (0 – 2 Years)

Job Location: Bangalore

Salary: Best In Industry

Eligibility Criteria for NVIDIA Recruitment 2022:

  • BE/BS/B.Tech/ME/MTech in Computer Science/EE.
  • 0 – 2 years’ experience in software development process in Linux based platforms preferred
  • Strong object-oriented programming and design pattern knowledge: Object Oriented Perl, C++ / Java preferred
  • Interpreted language skills highly desired –Perl or Python preferred
  • Experience in software development life cycle on Linux based platforms preferred
  • Excellent communication skills
  • Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements

Job Description:

  • We are evolving the core build, simulation, verification and release pipeline for the development of our AI, graphics, computing and SOC chips.
  • This strongly Object Oriented Perl/Python and Java/C++ infrastructure encompasses several extensive proprietary applications that allow us to efficiently verify the world’s largest chips with a sophisticated distributed computing execution and triage environment.
  • We are looking for forward-thinking engineers to participate in our fast-paced Agile software team and to continue and improve our very high production quality standards. These tools are used by all the engineers in NVIDIA

Job Responsibilities:

  • Working with chip architects to develop workflows that aid chip development process
  • Design and Develop tools for analysis, visualization, debugging and automated regressions
  • Build infrastructure system software that enables our driver stack, applications, tests, and studies to
  • run unchanged on all functional, diagnostic, and performance models, simulations and emulations

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