NVIDIA Hiring for LLVM and MLIR Compiler Engineer Intern – Fall 2026
NVIDIA is on the lookout for a dynamic and highly motivated Interns to join our SW groups in Bengaluru, India. This role is perfect for those passionate about new technologies and eager to work on next-generation NVIDIA products. If you love providing innovative solutions and enjoy tackling complex problems, we invite you to become a part of our engineering groups.
About Company:
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU – the engine of modern visual computing – the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team!
NVIDIA Recruitment Details:
Job Profile: Intern
Job ID: JR2014460
Qualification: B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields
Experience Required: Freshers
Salary: Not Disclosed
Work Location: Bangalore, India
Summary:
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team!
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.
What we need to see:
- 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.
Ways to stand out from the crowd:
- 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 For NVIDIA Careers 2026?
Eligible candidates apply this drive in online by the following the link ASAP. Venue details will be shared to shortlisted candidates through e-mail.
To Apply: Apply Now
Note:– Only shortlisted candidates will receive the call letter for further rounds
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