NVIDIA Careers Santa Clara 2022 Hiring Freshers as Software Engineer of Any Degree Graduate

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NVIDIA Careers Santa Clara 2022
NVIDIA Careers Santa Clara 2022

NVIDIA Careers Santa Clara 2022 Hiring Freshers as Software Engineer of Any Degree Graduate

NVIDIA Careers Santa Clara 2022: NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. 

NVIDIA Careers Santa Clara 2022

Company Name: Nvidia 

Website: Nvidia

Wikipedia: Nvidia Wiki

Position: Software Engineer

Qualifications: Bachelor’s Degree

Job Location: Santa Clara, California

Experience Level: 0 – 1 Year

Salary: Best In Industry

What we need to see:

  • Graduating with a BS or higher degree in Computer Science or related field (or equivalent experience)
  • Strong programming skills in Python (or similar) and familiarity with C/C++ development
  • Fluency with source control (e.g. Git, Perforce)
  • A pragmatic approach to solving problems and collaboration
  • Passion for “it just works” automation and enabling team members

Ways to stand out:

  • Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins or GitLab CI)
  • Background with distributed systems and cluster/cloud computing, especially with Kubernetes or Slurm
  • Experience designing and developing unit and integration test frameworks (e.g. PyTest, GoogleTest)
  • Background with low-level C/C++ build tools (e.g. GCC, Clang) and build systems (e.g. Make, CMake, Bazel)
  • Experience with test reporting and visualization tools and dashboards (e.g. Elasticsearch + Kibana)
  • Experience with code coverage and static code analysis tools
  • Knowledge of GPU computing systems

What you’ll be doing:

  • Designing and developing software for testing and analysis of our codebases
  • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
  • Developing throughout the software stack, from the user experience down to the cluster and database layers
  • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, GitLab, etc.)
  • Advancing state of the art in those industry-standard tools and upstreaming contributions to the open source community

Apply Link: Click here

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