NVIDIA Off Campus Drive 2023 | Freshers | System Software Engineer | B.E/B.Tech | 2022 – 2023 Batch | Bangalore, Pune, India
NVIDIA Off Campus Drive 2023: 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 Recruitment 2022](https://jobs.cybertecz.in/wp-content/uploads/2021/10/image-2.png?x14615)
Company Name: Nvidia
Website: www.nvidia.com
Wikipedia: en.wikipedia.org/wiki/Nvidia
Job Profile: New College Graduate
Degree Needed: B.E/B.Tech
Passout Year: 2022/2023
Work Location: Bangalore, Pune
Salary: As Per IT Standards
Experience Level: 0 – 1 Year
Jobs By Location And Passout Year:
Pune | Hyderabad | Delhi |
Mumbai | Coimbatore | Noida |
Bangalore | Chennai | Off Campus |
Nagpur | Gurgaon | Walk In |
2015 Batch | 2018 Batch | 2021 Batch |
2016 Batch | 2019 Batch | 2022 Batch |
2017 Batch | 2020 Batch | 2023 Batch |
Eligibility Criteria for NVIDIA Off Campus Drive 2023:
What we need to see:
- Strong academic background
- M. tech/B. Tech in Computer Science or related fields
- Strong C/C++ programming skills
- Good understanding of programming languages, processor architecture and Operating System Fundamentals.
- Knowledge of scripting (Perl or python) is a plus
- Candidate should have very good problem solving skills and application of the solutions to the real world problems.
- Good communications skills and ability and desire to work as a teammate are a must.
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Ways to stand out from the crowd:
- Previous experience with CUDA, System Programming
- Expertise in Parallel Programming
What you will be doing:
- Work on feature development and support for CUDA and cuDLA libraries that run on Tegra SoC based platforms
- Work on system software for systems based on NVIDIA Tegra SoCs.
- Participate in the development of proprietary and open computing standards
- Support the development of next-generation GPUs and other HW accelerators in collaboration with HW teams at NVIDIA
How to Apply NVIDIA Off Campus Drive?
Interested and eligible candidates can apply this NVIDIA Careers online by the following by as soon as possible.
Apply Link: Click Here
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