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Nvidia
EngineeringNew🎯 Internship

CPU Compiler Intern at Nvidia

Nvidia
•2 hours ago
Location

Pune / Bangalore

Salary

Competitive

Apply By

ASAP

Views

5

Eligible Batches

🎓 2026 Batch🎓 2027 Batch

Job Description

Join Nvidia's CPU Compiler team as an intern in Pune/Bangalore, get hands‑on LLVM experience and boost your engineering career.

Roles & Responsibilities

Develop and test compiler optimizations for CPU architectures Contribute to LLVM codebase and integrate NVIDIA-specific extensions Profile and debug generated code to ensure performance targets Write unit tests and documentation for new compiler features Collaborate with hardware and software teams to validate compiler output

Requirements

Proficiency in C++ and Python programming Strong understanding of compiler theory, data structures, and algorithms Familiarity with LLVM or other compiler frameworks Experience with Linux development environment and Git version control Excellent problem‑solving and communication skills

Eligibility Criteria

B.Tech/B.E. 2026/2027 Batch

Tech Stack & Ecosystem

C++CompilerAIHPC

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Quick Info

TypeInternship
RoleEngineering
Work Mode🏢 On-site
Eligible Batches
20262027

Tech Stack

C++CompilerAIHPC

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Career Advice

Company Insights

Nvidia is at the forefront of AI and high‑performance computing, and its CPU compiler team plays a pivotal role in translating cutting‑edge hardware capabilities into real‑world performance. As an intern, you’ll work alongside world‑class engineers, gaining exposure to proprietary compiler technologies that power GPUs and data‑center processors, which accelerates your growth in both software and hardware domains. The culture at Nvidia emphasizes rapid innovation, mentorship, and a collaborative environment, allowing you to contribute meaningfully to projects that impact billions of devices worldwide. This experience not only enriches your technical skill set but also positions you as a sought‑after talent in the competitive tech landscape.

Interview Guide

Prepare by deep diving into compiler fundamentals: study lexical analysis, parsing, SSA form, and optimization passes, especially within LLVM. Build a small language front‑end or write a simple LLVM pass to demonstrate hands‑on expertise, and be ready to discuss design decisions, trade‑offs, and performance implications during technical interviews. Additionally, brush up on low‑level programming concepts such as assembly generation, register allocation, and vectorization, as interviewers often probe your ability to map high‑level code to efficient machine instructions. For the coding portion, focus on algorithmic problems that emphasize data‑structure mastery and low‑level efficiency, typically solved in C++ or Python. Practice writing clean, well‑commented code under time constraints, and rehearse explaining your thought process clearly. Finally, research Nvidia's recent CPU‑related releases and any open‑source contributions to LLVM; referencing these in your answers shows genuine interest and helps you stand out as a candidate who is both technically prepared and culturally aligned with Nvidia's mission.