🌟 Step into the future of technology with NVIDIA, a global leader in visual computing and GPU innovation! The company is now inviting applications for the LLVM and MLIR Compiler Engineer Intern (Fall 2025) position. If you're pursuing a BS/MS/PhD in Computer Science or Engineering and passionate about C++ programming, compiler design, LLVM/MLIR, and parallel computing, this opportunity is for you. With this internship, you’ll work at the forefront of AI and compiler development while contributing to cutting-edge technologies that power everything from gaming to deep learning. Apply now to build the future, one code at a time.
📋 Job Details
🧑💻 Role: Compiler Engineer Intern
🎓 Qualification: BS, MS, or PhD (Computer Science/Engineering or related)
📅 Batch: 2025 / 2026 / 2027
🆕 Experience: Freshers
💰 Stipend: ₹53,000/month (Expected via Glassdoor)
📍 Location: Bengaluru, India
⏳ Last Date to Apply: Apply ASAP
✅ Eligibility Criteria
🎓 Currently pursuing a BS, MS, or PhD in CS, CE, or related fields
💻 Strong C++ programming skills
🧠 Background in Compiler Optimizations (loops, inter-procedural, global)
🛠️ Experience with LLVM, MLIR, or Clang
📚 Understanding of processor architectures (GPU ISA is a plus)
🗣️ Good communication, documentation, and self-motivation skills
🧾 Job Description
🛠️ Identify and implement performance optimizations in LLVM compiler backends
🔍 Design and build new compiler passes and analysis tools
🤝 Work closely with architecture, design, and software teams
📦 Contribute to the deep-learning compiler tech stack
💡 Develop tools and features that optimize parallel programming
📚 Engage in research and innovation across software architecture
🌟 Why Join NVIDIA?
🚀 Work with a global leader in GPU & AI technologies
💡 Collaborate with brilliant minds across compiler, architecture, and AI teams
🛠️ Build and optimize real-world applications for gaming, AI, ML & HPC
📚 Get exposure to cutting-edge compiler research and frameworks
🌈 Enjoy an inclusive, innovative, and fast-paced tech culture
🏢 About NVIDIA
NVIDIA is a global leader in visual computing and the inventor of the GPU, powering advancements in AI, machine learning, deep learning, and high-performance computing. With innovations that span from video games and medical imaging to autonomous vehicles and data centers, NVIDIA is shaping the future of technology. It’s where science meets creativity, and engineers thrive on impact.
🧠 Bonus Points If You Have
✨ MS or PhD in a related field
🧮 Experience in CUDA or parallel programming languages
📊 Familiarity with deep learning frameworks
⚙️ Understanding of parallel computing architectures
📥 How to Apply?
🎯 Ready to challenge yourself and code the future? Apply now through the official NVIDIA careers page:
👉 For More Details & Apply: Click Here
💬 Top 5 Interview Questions & Answers
1. What is LLVM and why is it important in compiler design?
👉 LLVM is a modular compiler infrastructure used to optimize code during compile-time, link-time, and run-time, making it critical for performance and flexibility.
2. How does loop unrolling affect performance?
👉 Loop unrolling can reduce overhead and increase performance by decreasing the number of loop control instructions, but may increase binary size.
3. Explain the difference between MLIR and LLVM.
👉 MLIR (Multi-Level IR) is an infrastructure to build domain-specific compilers on top of LLVM and other IRs, enabling better modularity and reuse.
4. What are inter-procedural optimizations?
👉 These are optimizations performed across function boundaries to enhance performance, such as inlining or removing redundant computations.
5. What challenges have you faced while working with C++ in system-level programming?
👉 Common challenges include memory management, complex template debugging, and performance tuning, especially in multi-threaded contexts.
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