# Compiler Technology Internship

**Company**: NVIDIA
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Software-Engineering-Intern--Compiler-Verification---Spring-2027_JR2026177?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_910a4062-b51

## Description

NVIDIA is exploring the possibilities of AI to define the future of computing. The company's division develops compiler technologies within the CUDA software stack that support the transformation of high-level parallel programs into efficient performance on NVIDIA GPUs.

The internship provides hands-on experience working with compilers, GPU architecture, and parallel programming languages. The role involves a mix of systems perspective, software knowledge, and exposure to real compiler issues across advanced GPU platforms.

**Responsibilities:**

- Develop programs in PTX, CUDA, C/C++, or low-level GPU languages to validate compiler and evaluate generated code across key features and architectures.

- Build software components, libraries, and technical solutions that advance compiler development and open up innovative ways to explore and exercise compiler behavior.

- Collaborate with compiler and hardware engineers on challenging architectural and compiler interactions, helping uncover deeper insights into how advanced GPU software features behave across releases.

- Contribute to expansive engineering projects that improve the robustness, scalability, and future-readiness of the CUDA software stack for new GPU platforms.

**Requirements:**

- Pursuing an MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

- Strong programming skills in Python, C++, or similar languages used for systems or software development.

- Solid understanding of data structures, algorithms, and software debugging fundamentals.

- Familiarity with compiler concepts, computer architecture, operating systems, or parallel programming.

- Ability to read technical details carefully, reason about complex behaviors, and communicate findings clearly in a collaborative engineering environment.

**Preferred Qualifications:**

- Exposure to compiler internals, code generation, static analysis, LLVM, or MLIR.

- Background in GPU programming, CUDA, PTX, or parallel computing models.

- Hands-on project work involving low-level systems, program analysis, or software aimed at optimizing software operation.

- Passion for compilers, GPU frameworks, or software tools intended for developer use.

## Skills

### Required
- Python
- C++
- parallel programming
- compiler concepts
- computer architecture

### Nice to have
- compiler internals
- code generation
- static analysis
- LLVM
- MLIR
- GPU programming
- CUDA
- PTX

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Software-Engineering-Intern--Compiler-Verification---Spring-2027_JR2026177?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)