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NVIDIA Internship 2025: LLVM and MLIR Compiler Engineer Intern – Fall 2025

NVIDIA Internship 2025: LLVM and MLIR Compiler Engineer Intern – Fall 2025: NVIDIA Internship 2025 is currently hiring for the role of LLVM and MLIR Compiler Engineer Intern – Fall 2025. Candidates who are currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related fields are eligible to apply. Moreover, this opportunity is based in the Bengaluru location. The detailed eligibility criteria and application process are outlined below.

Company Website: www.nvidia.com

Job Role: Compiler Engineer Intern

Qualification: BS, MS or PhD

Experience: Freshers

Batch: 2025 / 2026 / 2027

Salary: ₹ 53K Per Month (Via Glassdoor)

Job Location: Bengaluru

Last Date: ASAP

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  • First, you’ll identify opportunities for performance improvements in the LLVM-based compiler middle end optimizer.
  • Next, you’ll design and develop new compiler analysis passes and optimizations.
  • Additionally, you’ll collaborate as part of a team at the forefront of deep-learning compiler technology—working across architectural design and higher-level language support.

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  • To begin with, you should be pursuing a B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related disciplines.
  • You should also have a solid background in compiler optimizations such as loop optimizations, inter-procedural, and global optimizations.
  • Moreover, excellent hands-on C++ programming skills are a must.
  • Experience with MLIR, LLVM, and/or Clang compiler development is highly desirable.
  • An understanding of any processor ISA (with GPU ISA as a plus) is beneficial.
  • Lastly, good communication skills, strong documentation abilities, and self-motivation are key traits.
  • Ideally, candidates with an M.S. or Ph.D. will be given preference.
  • Experience in developing applications using CUDA or other parallel programming languages is a significant advantage.
  • Furthermore, a strong grasp of parallel programming concepts can distinguish your profile.
  • Familiarity with deep learning frameworks and NVIDIA GPUs will also help set your application apart.

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All interested and eligible candidates can apply online via the following link:

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