NVIDIASoftware Engineering Intern, Compiler Verification - Spring 2027
NVIDIA is hiring a Software Engineering Intern, Compiler Verification - Spring 2027 in Beijing, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, C and CUDA.
- Level classifies it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Intern to develop programs and validate compiler technologies within the CUDA software stack for NVIDIA GPUs.
At present, NVIDIA is exploring the immense possibilities of AI to define the forthcoming era of computing. Our division develops compiler technologies within the CUDA software stack that support the transformation of high-level parallel programs into efficient performance on NVIDIA GPUs. This internship grants a hands-on experience working closely with compilers, GPU architecture, and parallel programming languages. The role is notable for its mix of systems perspective, software knowledge, and significant exposure to authentic compiler issues across advanced GPU platforms.
What you’ll be doing:
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 more 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.
What we need to see:
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.
Ways to stand out from the crowd:
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.
How we rate this
Software Engineering Intern, Compiler Verification - Spring 2027 at NVIDIA rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where compilers was part of your work. What did you do?
- Tell me about a project where gpu architecture was part of your work. What did you do?
- Tell me about a project where parallel programming was part of your work. What did you do?
- Tell me about a project where software verification was part of your work. What did you do?
- Tell me about a project where systems programming was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Compilers, GPU Architecture, Parallel Programming, Software Verification, and Systems Programming. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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