Online applications are invited for the CSE Intern at Nvidia, Bangalore. Check the eligibility and other details below!
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has pioneered accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and fueled the metaverse’s creation. NVIDIA is now a full-stack computing company with data-center-scale offerings reshaping the industry.

Role & Responsibilities
- 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.
Qualification
- 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.
- MLIR, 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 Skill Sets
- 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.
How to Apply?
Interested candidates can directly apply through this link.
Stipend
- ₹30,414 – ₹31,722
- Note: Stipend details are taken from here!