Nvidia Off Campus Drive 2023: Hiring Freshers as Interns of Any Degree Graduate
Nvidia Off Campus Drive 2023 is your gateway to stepping into the world of cutting-edge technology. If you’re a fresh graduate eager to make your mark, this internship opportunity is tailor-made for you. Nvidia, a global leader in AI and GPU technology, invites you to join as an intern and explore a world of innovation. With a focus on hands-on learning, this program will equip you with skills and insights that will shape your career. Don’t miss this chance to intern with one of the industry’s giants. Apply now and embark on a journey of growth and discovery.
About Company:
Nvidia Corporation is a renowned American multinational technology company specializing in the design of GPUs (graphics processing units), AI (artificial intelligence), and deep learning technology. With a legacy of innovation spanning decades, Nvidia plays a pivotal role in shaping the future of computing. Their GPUs are not only used for gaming but also for AI research, data centers, and autonomous vehicles, making them a driving force in various industries. Joining Nvidia means becoming a part of a dynamic and forward-thinking team at the forefront of technological advancement.
Website: Nvidia
Wikipedia: Nvidia Wiki
Job Profile: Intern
Degree Needed: B.E/B.Tech/M.E/M.Tech
Passout Year: 2021/2022/2023
Work Location: Bangalore
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 |
Requirements:
- Pursuing a B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields.
- Background in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations.
- Excellent hands-on C++ programming skills.
- LLVM and/or Clang compiler development experience.
- Understanding of any Processor ISA (GPU ISA would be a plus).
- Good communication and documentation skills and self-motivated.
Preferred:
- M.S or Ph.D. preferred.
- Experience in developing applications in CUDA or other parallel programming language.
- Understanding of parallel programming concepts.
- Familiarity with deep learning frameworks and NVIDIA GPUs.
What you will be doing:
- Identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer.
- Design and develop new compiler analysis passes and optimizations.
- Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages.
Application Process:
How to Apply for Nvidia Off Campus Drive 2023
Interested and eligible candidates can apply online for Nvidia Recruitment 2023 through the provided link
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