ApplySarthi

GPU Compiler LLVM Backend Intern - 2027

Nvidia

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73 open compiler roles across 12 companies are on ApplySarthi right now, most of them in Bengaluru (9), Pune (1), Hyderabad (1).

What compiler roles keep asking for: C++ (33%), Python (18%), Deep learning (15%) — counted across their open postings here.

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Interviews for compiler roles keep coming back to C++, Python, Deep learning. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. How would you design an API for a feature you have worked on?
  4. What do you do when a production issue happens on your code?
  5. Walk me through a system you built. How was it designed, and what would you change now?

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NVIDIA's invention of the GPU 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are searching for a LLVM Compiler Intern for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures. What You Will Be Doing: Understand, modify, and improve an NVIDIA GPU compiler and assembler written in C++ Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools Work with global compiler, hardware and application teams to oversee improvements and problem resolutions Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages What We Need To See: Pursuing B.S. or higher degree in Computer Science/Engineering Excellent hands-on C++ programming skills Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems Good communication and documentation skills and self-motivated Ways To Stand Out From The Crowd: Masters or PhD preferred, with some compiler code generation experience Experience in developing CUDA, DirectX, OpenGL/Vulkan applications Experience in performance analysis and compile time analysis tools Exposure to various ML techniques

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Listed on workday · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.